• Multi-Object Tracking: Crowd Tracking and Group Action Recognition

    Prof. Mubarak Shah of the University of Central Florida discusses crowd tracking and group action recognition. Part of a National Research Council Workshop sponsored by NOAA Fisheries. Recorded May 16, 2014.

    published: 07 Jul 2014
  • Tracking Objects with Point Clouds from Vision and Touch

    We present an object-tracking framework that fuses point cloud information from an RGB-D camera with tactile information from a GelSight contact sensor, by treating the dense contact geometry information from the GelSight sensor as an additional point cloud. Our implementation is capable of tracking objects in real time. This video is paired with a paper, available at http://groups.csail.mit.edu/locomotion/pubs.shtml.

    published: 22 Sep 2016
  • Object Tracking with LabVIEW

    Object Tracking Algorithm developed at DHBW Lörrach for the myRIO Balancing Robot Project. This Video was done for the myRIO Balancing Robot project. See https://decibel.ni.com/content/groups... for more information.

    published: 13 Dec 2013
  • Cisco Enhanced Object Tracking Tutorial

    In this tutorial I will show you how you can use Enhanced Object Tracking to add extra functionality to static routes. By default a static route will be removed if the interface goes down. Now you can also make sure it's removed when for example an ICMP echo fails. For more cool cisco stuff: http://www.renemolenaar.nl

    published: 12 Apr 2010
  • Radar and stereo vision fusion for multitarget tracking on the special Euclidean group

    Reliable scene analysis, under varying conditions, is an essential task in nearly any assistance or autonomous system application, and advanced driver assistance systems (ADAS) are no exception. ADAS commonly involve adaptive cruise control, collision avoidance, lane change assistance, traffic sign recognition, and parking assistance with the ultimate goal of producing a fully autonomous vehicle. This video addresses detection and tracking of moving objects within the context of ADAS. We use a multisensor setup consisting of a radar and a stereo camera mounted on top of a vehicle. We propose to model the sensors uncertainty in polar coordinates on Lie Groups and perform the objects state filtering on Lie groups, specifically, on the product of two special Euclidean groups, i.e., SE(2)xSE(2...

    published: 19 May 2016
  • Density aware person detection and tracking in crowds

    From: http://www.mikelrodriguez.com/#/crowd-analysis/ Density-aware person detection and tracking in crowds M. Rodriguez I. Laptev J. Sivic JY. Audibert. Density-aware person detection and tracking in crowds. Proceedings of the IEEE International Conference on Computer Vision (2011), Poster. PDF | Abstract | BibTeX | Matlab Code and Dataset Overview: Detecting and tracking people in crowded scenes is a crucial component for a wide range of applications including surveillance, group behavior modeling and crowd disaster prevention. The reliable person detection and tracking in crowds, however, is a highly challenging task due to heavy occlusions, view variations and varying density of people as well as the ambiguous appearance of body parts, e.g. the head of one person could be similar ...

    published: 21 Apr 2014
  • IBM Process Transformation l Tracking Group, Tracking Points and Timer Interval

    Transforme os seus negócios e potencialize a inovação de sua empresa através do BPM. Descoberta de processos: http://ibm.co/2h9LVyj Automação de processos: http://ibm.co/2hnPfoj

    published: 01 Jun 2017
  • CoreML: Real Time Camera Object Detection with Machine Learning - Swift 4

    Learn how to put together a Real Time Object Detection app by using one of the newest libraries announced in this year's WWDC event. The combination of CPU and GPU allows for maximum efficiency in using inference technology from Machine Learning which enables us to create today's application. SqueezeNet and Resnet50 models can downloaded near the bottom at: https://developer.apple.com/machine-learning/ More detailed lessons on Showing the Camera: https://www.letsbuildthatapp.com/course_video?id=1252 Instagram Firebase Course https://www.letsbuildthatapp.com/course/instagram-firebase Facebook Group https://www.facebook.com/groups/1240636442694543/ iOS Basic Training Course https://www.letsbuildthatapp.com/basic-training Completed Source Code https://www.letsbuildthatapp.com/course_...

    published: 14 Jul 2017
  • Adobe Premiere: Mask Tracking

    In this VideoFort Tutorial VideoFort Colin teaches us how to use Adobe Premiere Pro to Mask Track. This will allow you to blur face, blur license plates, or even sharpen or color objects. Instead of having to key frame a mask and follow an object, you are able to tell Adobe Premiere Pro what needs to be tracked and automatically follow object. This will save you time and allow you to make tracks much faster.

    published: 29 Jul 2014
  • Object Group Selection Using Eye Gaze Interaction

    AV production for the project Object Group Selection Using Eye Gaze Interaction by mta12731, Aalborg University 2012. Music: San - Longzijun

    published: 18 Dec 2012
  • Detection and tracking of groups in crowd

    Method for automatically locating and tracking groups of people in a video.

    published: 23 Aug 2013
  • ObjectTracker - real-time object tracking of multiple objects using particle filters

    ObjectTracker is a software to track multiple moving objects in a video scene using particle filters. Using a running average segmentation, moving objects can be segmented robustly and being tracked by individual particle filters for each tracked object. If you would like to find out more, simply visit http://studios.tinytall.de

    published: 02 Jul 2011
  • Multiple Person Tracking Under Complex Motion and Occlusion

    This video shows the results of tracking multiple persons moving in complex trajectories undergoing occlusions.

    published: 18 Nov 2007
  • AutoCAD 2012 - Creating and Working with Object Groups

    In this edition of the CADLearning Instructor Series, AutoCAD experts Matt Murphy and David Cohn delve into object groups and how to work with them in AutoCAD 2012.

    published: 12 Mar 2012
  • SurfaceFusion: Unobtrusive Tracking of Everyday Objects in Tangible User Interfaces

    Interactive surfaces and related tangible user interfaces often involve everyday objects that are identified, tracked, and augmented with digital information. Traditional approaches for recognizing these objects typically rely on complex pattern recognition techniques, or the addition of active electronics or fiducials that alter the visual qualities of those objects, making them less practical for real-world use. Radio Frequency Identification (RFID) technology provides an unobtrusive method of sensing the presence of and identifying tagged nearby objects but has no inherent means of determining the position of tagged objects. Computer vision, on the other hand, is an established approach to track objects with a camera. While shapes and movement on an interactive surface can be determined...

    published: 11 Oct 2016
  • AWS Essentials: Object Versioning

    See this course and others at Linux Academy: https://linuxacademy.com/amazon-web-services/training/course/name/aws-essentials History, backups, tracking changes – do it all with object versioning! Project Omega Interactive guide link: http://bit.ly/2guw5gY Try Linux Academy FREE for seven days: https://linuxacademy.com/join/pricing Linux Academy: https://linuxacademy.com 'Like' us on Facebook: https://www.facebook.com/linuxacademyCOM Follow us on Twitter: https://twitter.com/linuxacademyCOM Read our blog: https://linuxacademy.com/blog

    published: 21 Dec 2016
  • [Must Watch] Deep Learning on Drones with FlytOS and Nvidia TX1 | Real Time Object Detection

    Understand deep-learning algorithms for object recognition on drones, implemented using FlytOS and Nvidia TX1. Real time object detection and tracking with Open CV. More details on the FlytBase platform are available here: http://flytbase.com Commercial drone applications require significant autonomy and intelligence which cannot be achieved using conventional Computer Vision algorithms. Deep Learning/Vision algorithms seem to be very promising in helping drones to be used in more advanced and complex commercial applications. To understand more about it, read the blog: 1: Tutorial: Integrating Deep Learning Applications With FlytOS on Nvidia TX1 (Part 1/2) http://blogs.flytbase.com/integrating-deep-learning-applications-with-flytos-on-nvidia-tx1/ 2: Tutorial: Integrating Deep Learning...

    published: 12 Oct 2016
  • Server 2016 And 2012 R2 - File And Folder Access Auditing And Monitoring

    Server 2016 And 2012 R2 - File And Folder Access Auditing And Monitoring With many users in a server environment and with a lot of data that needs to be secured and not accessed by unauthorized people. Also, in the fight against cyber theft we also need to see our regular user's file and folder access patterns. File and folder auditing is the way - it is a two step process that uses group policy and then file security settings. For more visit: https://www.windows10.ninja https://www.servers2016.com Transcript (machine generated so it contains errors) A very good day to you in this video, let's have a look at how to audit access to files and folders and then how to look at the vans and maybe even filter using a little bit of an advanced system towards the the simple thing is it's into...

    published: 11 Nov 2015
  • Tracking Group Policy Changes

    This session will show how to track changes to group policy settings. Determine who made the change and when the change was made. Track when the changes are replicated to your systems.

    published: 08 Feb 2012
  • IP SLA/Object tracking for best route, CCNP (v-59)

    Selecting active/working path using IP SLA/Object tracking, while you have single router connected to multiple ISP

    published: 03 Oct 2014
  • Target Identification and Tracking Using Hue-Saturation Histograms

    www.wilselby.com for more information Object Identification and Tracking Algorithm Results Wil Selby Peter Corke Daniela Rus MIT Distributed Robotics Lab Fall 2009 Our object recognition algorithm characterizes the target in the Hue (H) and Saturation (S) plane and then identifies the target in subsequent frames based on this characterization. We require a solution that is robust but also computationally efficient enough to run on our small on-board computer at a high frequency. Techniques such as graph cuts, and MSER are too expensive for this purpose. Object Representation The model used to represent the target is a two-dimensional histogram. First, an initial frame containing the target is captured and converted from RGB color space to HSV color space. A two-dimensional histogram is...

    published: 15 Aug 2011
  • Match-Move Drone Shots in Resolve! - Resolve 14 Tracking Tutorial

    Here's a simple way to stick graphics and titles to moving footage right inside of Resolve 14!

    published: 18 Aug 2017
  • Scalable 3D Tracking of Multiple Interacting Objects - CVPR 2014

    We consider the problem of tracking multiple interacting objects in 3D, using RGBD input and by considering a hypothesize-and-test approach. Due to their interaction, objects to be tracked are expected to occlude each other in the field of view of the camera observing them. A naive approach would be to employ a Set of Independent Trackers (SIT) and to assign one tracker to each object. This approach scales well with the number of objects but fails as occlusions become stronger due to their disjoint consideration. The solution representing the current state of the art employs a single Joint Tracker (JT) that accounts for all objects simultaneously. This directly resolves ambiguities due to occlusions but has a computational complexity that grows geometrically with the number of tracked obje...

    published: 31 Mar 2014
  • Region Growing for Object Tracking

    Shows the advanced region growing method with some modifications. The rectangle shows where the program thinks motion is occurring and groups areas it thinks is part of 1 moving object. A simple test environment is shown. It groups adjacent pixels into blobs, groups of blobs into regions and groups of regions into objects. Part of Final Year EE Engineering Project. USB Camera used for input. VBasic Used for Software.

    published: 16 Oct 2010
  • ECE5-Color Object Tracking & Collecting Car

    Group project for UCSB ECE5. We built an intelligent car that can track and collect color objects. Group member: Jiajun Wan, Oliver He, and Xiyuan Zhang

    published: 20 Mar 2017
  • I98 Seaport installation in Taiwan with Auto Tracking to object - Group People

    I98 installed in the Seaport vertical in Taiwan

    published: 23 Jan 2017
  • Multi Object Tracking Crowd Tracking and Group Action Recognition

    published: 17 Sep 2017
  • CS:GO - IDIOT ADVENTURES #2 Ft. Meebro Review Kitchen ( SHARP OBJECTS )

    Snuff sniff... you smell that? Storm a brewing ;). It's coming from the east. Soon�� ** MORE BELOW ** Meanwhile, I do some accidents, people do silly things, some people get scared. www.csgoknives.co.uk if you are want sharp objects TWITCH: https://www.twitch.tv/failubrutus TWITTER: https://twitter.com/FailuCSGO STEAM: http://steamcommunity.com/groups/ClubFailu My Setup: http://kit.com/Failu Music By Dunderpatrullen TRACK: To The Moon ft. Fantomenk https://soundcloud.com/dunderpatrullen https://www.facebook.com/Dunderpatrullen https://www.youtube.com/user/UrbanTrasa http://dunderpatrullen.nu/

    published: 16 Dec 2016
  • GoGo Penguin - Man Made Object (2016)

    Sólo para difusión, apoya al artista y de ser posible compra el original. Support and get the band stuff here: http://gogopenguin.co.uk/ * This record is for purposes of dissemination and non commercial use. ......................................................................................................................... Tracklist: 01. All Res 02. Unspeakable World 03. Branches Break 04. Weird Cat 05. Quiet Mind 06. Smarra 07. Initiate 08. Gbfisysih 09. Surrender to Mountain 10. Protest 12. Unspeakable World (Matthew Herbert's Onc Workout) 13. Initiate (Stray Remix) 14. All Res (Dabrye Remix) ------------- "In his 1982 film, Koyaanisqatsi, director Godfrey Reggio sought to explain the relationship between human beings, nature and technology. He presented a gorgeous collage of sc...

    published: 25 Jul 2016
developed with YouTube
Multi-Object Tracking: Crowd Tracking and Group Action Recognition

Multi-Object Tracking: Crowd Tracking and Group Action Recognition

  • Order:
  • Duration: 23:26
  • Updated: 07 Jul 2014
  • views: 5266
videos
Prof. Mubarak Shah of the University of Central Florida discusses crowd tracking and group action recognition. Part of a National Research Council Workshop sponsored by NOAA Fisheries. Recorded May 16, 2014.
https://wn.com/Multi_Object_Tracking_Crowd_Tracking_And_Group_Action_Recognition
Tracking Objects with Point Clouds from Vision and Touch

Tracking Objects with Point Clouds from Vision and Touch

  • Order:
  • Duration: 1:24
  • Updated: 22 Sep 2016
  • views: 5491
videos
We present an object-tracking framework that fuses point cloud information from an RGB-D camera with tactile information from a GelSight contact sensor, by treating the dense contact geometry information from the GelSight sensor as an additional point cloud. Our implementation is capable of tracking objects in real time. This video is paired with a paper, available at http://groups.csail.mit.edu/locomotion/pubs.shtml.
https://wn.com/Tracking_Objects_With_Point_Clouds_From_Vision_And_Touch
Object Tracking with LabVIEW

Object Tracking with LabVIEW

  • Order:
  • Duration: 0:57
  • Updated: 13 Dec 2013
  • views: 7991
videos
Object Tracking Algorithm developed at DHBW Lörrach for the myRIO Balancing Robot Project. This Video was done for the myRIO Balancing Robot project. See https://decibel.ni.com/content/groups... for more information.
https://wn.com/Object_Tracking_With_Labview
Cisco Enhanced Object Tracking Tutorial

Cisco Enhanced Object Tracking Tutorial

  • Order:
  • Duration: 8:22
  • Updated: 12 Apr 2010
  • views: 4274
videos
In this tutorial I will show you how you can use Enhanced Object Tracking to add extra functionality to static routes. By default a static route will be removed if the interface goes down. Now you can also make sure it's removed when for example an ICMP echo fails. For more cool cisco stuff: http://www.renemolenaar.nl
https://wn.com/Cisco_Enhanced_Object_Tracking_Tutorial
Radar and stereo vision fusion for multitarget tracking on the special Euclidean group

Radar and stereo vision fusion for multitarget tracking on the special Euclidean group

  • Order:
  • Duration: 2:26
  • Updated: 19 May 2016
  • views: 1757
videos
Reliable scene analysis, under varying conditions, is an essential task in nearly any assistance or autonomous system application, and advanced driver assistance systems (ADAS) are no exception. ADAS commonly involve adaptive cruise control, collision avoidance, lane change assistance, traffic sign recognition, and parking assistance with the ultimate goal of producing a fully autonomous vehicle. This video addresses detection and tracking of moving objects within the context of ADAS. We use a multisensor setup consisting of a radar and a stereo camera mounted on top of a vehicle. We propose to model the sensors uncertainty in polar coordinates on Lie Groups and perform the objects state filtering on Lie groups, specifically, on the product of two special Euclidean groups, i.e., SE(2)xSE(2). To this end, we derive the designed filter within the framework of the extended Kalman filter on Lie groups. We assert that the proposed approach results with more accurate uncertainty modeling, since used sensors exhibit contrasting measurement uncertainty characteristics and the predicted target motions result with banana-shaped uncertainty contours. We believe that accurate uncertainty modeling is an important ADAS topic, especially when safety applications are concerned. To solve the multitarget tracking problem, we use the joint integrated probabilistic data association filter and present necessary modifications in order to use it on Lie groups. The proposed approach is tested on a real-world dataset collected with the described multisensor setup in urban traffic scenarios.
https://wn.com/Radar_And_Stereo_Vision_Fusion_For_Multitarget_Tracking_On_The_Special_Euclidean_Group
Density aware person detection and tracking in crowds

Density aware person detection and tracking in crowds

  • Order:
  • Duration: 2:44
  • Updated: 21 Apr 2014
  • views: 13532
videos
From: http://www.mikelrodriguez.com/#/crowd-analysis/ Density-aware person detection and tracking in crowds M. Rodriguez I. Laptev J. Sivic JY. Audibert. Density-aware person detection and tracking in crowds. Proceedings of the IEEE International Conference on Computer Vision (2011), Poster. PDF | Abstract | BibTeX | Matlab Code and Dataset Overview: Detecting and tracking people in crowded scenes is a crucial component for a wide range of applications including surveillance, group behavior modeling and crowd disaster prevention. The reliable person detection and tracking in crowds, however, is a highly challenging task due to heavy occlusions, view variations and varying density of people as well as the ambiguous appearance of body parts, e.g. the head of one person could be similar to a shoulder of a near-by person. High-density crowds present particular challenges due to the difficulty of isolating individual people with standard low-level methods of background subtraction and motion segmentation typically applied in low-density surveillance scenes.
https://wn.com/Density_Aware_Person_Detection_And_Tracking_In_Crowds
IBM Process Transformation l Tracking Group, Tracking Points and Timer Interval

IBM Process Transformation l Tracking Group, Tracking Points and Timer Interval

  • Order:
  • Duration: 20:10
  • Updated: 01 Jun 2017
  • views: 97
videos
Transforme os seus negócios e potencialize a inovação de sua empresa através do BPM. Descoberta de processos: http://ibm.co/2h9LVyj Automação de processos: http://ibm.co/2hnPfoj
https://wn.com/Ibm_Process_Transformation_L_Tracking_Group,_Tracking_Points_And_Timer_Interval
CoreML: Real Time Camera Object Detection with Machine Learning - Swift 4

CoreML: Real Time Camera Object Detection with Machine Learning - Swift 4

  • Order:
  • Duration: 26:11
  • Updated: 14 Jul 2017
  • views: 28055
videos
Learn how to put together a Real Time Object Detection app by using one of the newest libraries announced in this year's WWDC event. The combination of CPU and GPU allows for maximum efficiency in using inference technology from Machine Learning which enables us to create today's application. SqueezeNet and Resnet50 models can downloaded near the bottom at: https://developer.apple.com/machine-learning/ More detailed lessons on Showing the Camera: https://www.letsbuildthatapp.com/course_video?id=1252 Instagram Firebase Course https://www.letsbuildthatapp.com/course/instagram-firebase Facebook Group https://www.facebook.com/groups/1240636442694543/ iOS Basic Training Course https://www.letsbuildthatapp.com/basic-training Completed Source Code https://www.letsbuildthatapp.com/course_video?id=1592 Follow me on Twitter: https://twitter.com/buildthatapp
https://wn.com/Coreml_Real_Time_Camera_Object_Detection_With_Machine_Learning_Swift_4
Adobe Premiere: Mask Tracking

Adobe Premiere: Mask Tracking

  • Order:
  • Duration: 3:13
  • Updated: 29 Jul 2014
  • views: 203923
videos
In this VideoFort Tutorial VideoFort Colin teaches us how to use Adobe Premiere Pro to Mask Track. This will allow you to blur face, blur license plates, or even sharpen or color objects. Instead of having to key frame a mask and follow an object, you are able to tell Adobe Premiere Pro what needs to be tracked and automatically follow object. This will save you time and allow you to make tracks much faster.
https://wn.com/Adobe_Premiere_Mask_Tracking
Object Group Selection Using Eye Gaze Interaction

Object Group Selection Using Eye Gaze Interaction

  • Order:
  • Duration: 2:00
  • Updated: 18 Dec 2012
  • views: 169
videos
AV production for the project Object Group Selection Using Eye Gaze Interaction by mta12731, Aalborg University 2012. Music: San - Longzijun
https://wn.com/Object_Group_Selection_Using_Eye_Gaze_Interaction
Detection and tracking of groups in crowd

Detection and tracking of groups in crowd

  • Order:
  • Duration: 4:34
  • Updated: 23 Aug 2013
  • views: 2486
videos
Method for automatically locating and tracking groups of people in a video.
https://wn.com/Detection_And_Tracking_Of_Groups_In_Crowd
ObjectTracker - real-time object tracking of multiple objects using particle filters

ObjectTracker - real-time object tracking of multiple objects using particle filters

  • Order:
  • Duration: 3:06
  • Updated: 02 Jul 2011
  • views: 5575
videos
ObjectTracker is a software to track multiple moving objects in a video scene using particle filters. Using a running average segmentation, moving objects can be segmented robustly and being tracked by individual particle filters for each tracked object. If you would like to find out more, simply visit http://studios.tinytall.de
https://wn.com/Objecttracker_Real_Time_Object_Tracking_Of_Multiple_Objects_Using_Particle_Filters
Multiple Person Tracking Under Complex Motion and Occlusion

Multiple Person Tracking Under Complex Motion and Occlusion

  • Order:
  • Duration: 0:37
  • Updated: 18 Nov 2007
  • views: 52381
videos
This video shows the results of tracking multiple persons moving in complex trajectories undergoing occlusions.
https://wn.com/Multiple_Person_Tracking_Under_Complex_Motion_And_Occlusion
AutoCAD 2012 - Creating and Working with Object Groups

AutoCAD 2012 - Creating and Working with Object Groups

  • Order:
  • Duration: 4:48
  • Updated: 12 Mar 2012
  • views: 15864
videos
In this edition of the CADLearning Instructor Series, AutoCAD experts Matt Murphy and David Cohn delve into object groups and how to work with them in AutoCAD 2012.
https://wn.com/Autocad_2012_Creating_And_Working_With_Object_Groups
SurfaceFusion: Unobtrusive Tracking of Everyday Objects in Tangible User Interfaces

SurfaceFusion: Unobtrusive Tracking of Everyday Objects in Tangible User Interfaces

  • Order:
  • Duration: 2:05
  • Updated: 11 Oct 2016
  • views: 539
videos
Interactive surfaces and related tangible user interfaces often involve everyday objects that are identified, tracked, and augmented with digital information. Traditional approaches for recognizing these objects typically rely on complex pattern recognition techniques, or the addition of active electronics or fiducials that alter the visual qualities of those objects, making them less practical for real-world use. Radio Frequency Identification (RFID) technology provides an unobtrusive method of sensing the presence of and identifying tagged nearby objects but has no inherent means of determining the position of tagged objects. Computer vision, on the other hand, is an established approach to track objects with a camera. While shapes and movement on an interactive surface can be determined from classic image processing techniques, object recognition tends to be complex, computationally expensive and sensitive to environmental conditions. We present a set of techniques in which movement and shape information from the computer vision system is fused with RFID events that identify what objects are in the image. By synchronizing these two complementary sensing modalities, we can associate changes in the image with events in the RFID data, in order to recover position, shape and identification of the objects on the surface, while avoiding complex computer vision processes and exotic RFID solutions.
https://wn.com/Surfacefusion_Unobtrusive_Tracking_Of_Everyday_Objects_In_Tangible_User_Interfaces
AWS Essentials: Object Versioning

AWS Essentials: Object Versioning

  • Order:
  • Duration: 6:39
  • Updated: 21 Dec 2016
  • views: 2241
videos
See this course and others at Linux Academy: https://linuxacademy.com/amazon-web-services/training/course/name/aws-essentials History, backups, tracking changes – do it all with object versioning! Project Omega Interactive guide link: http://bit.ly/2guw5gY Try Linux Academy FREE for seven days: https://linuxacademy.com/join/pricing Linux Academy: https://linuxacademy.com 'Like' us on Facebook: https://www.facebook.com/linuxacademyCOM Follow us on Twitter: https://twitter.com/linuxacademyCOM Read our blog: https://linuxacademy.com/blog
https://wn.com/Aws_Essentials_Object_Versioning
[Must Watch]  Deep Learning on Drones with FlytOS and Nvidia TX1 | Real Time Object Detection

[Must Watch] Deep Learning on Drones with FlytOS and Nvidia TX1 | Real Time Object Detection

  • Order:
  • Duration: 1:07
  • Updated: 12 Oct 2016
  • views: 12982
videos
Understand deep-learning algorithms for object recognition on drones, implemented using FlytOS and Nvidia TX1. Real time object detection and tracking with Open CV. More details on the FlytBase platform are available here: http://flytbase.com Commercial drone applications require significant autonomy and intelligence which cannot be achieved using conventional Computer Vision algorithms. Deep Learning/Vision algorithms seem to be very promising in helping drones to be used in more advanced and complex commercial applications. To understand more about it, read the blog: 1: Tutorial: Integrating Deep Learning Applications With FlytOS on Nvidia TX1 (Part 1/2) http://blogs.flytbase.com/integrating-deep-learning-applications-with-flytos-on-nvidia-tx1/ 2: Tutorial: Integrating Deep Learning Applications for Drones with FlytOS on Nvidia TX1 (Part 2/2) http://blogs.flytbase.com/deep-learning-applications-for-drones-with-flytos-on-nvidia-tx1-part2/ Join the drone developers community: https://goo.gl/zxKPAo ====================================================== Know more about us: Website: https://www.flytbase.com Blog: https://blogs.flytbase.com Docs: docs.flytbase.com ------------------------------- Follow us: Facebook: https://www.facebook.com/flytbase/ FB Group: https://www.facebook.com/groups/flytos/ Twitter: https://twitter.com/flytbase Subscribe Us: https://www.youtube.com/channel/UCQ1FsuDBF1T7UsTofwYF1DA ======================================================
https://wn.com/Must_Watch_Deep_Learning_On_Drones_With_Flytos_And_Nvidia_Tx1_|_Real_Time_Object_Detection
Server 2016 And 2012 R2 - File And Folder Access Auditing And Monitoring

Server 2016 And 2012 R2 - File And Folder Access Auditing And Monitoring

  • Order:
  • Duration: 8:51
  • Updated: 11 Nov 2015
  • views: 18052
videos
Server 2016 And 2012 R2 - File And Folder Access Auditing And Monitoring With many users in a server environment and with a lot of data that needs to be secured and not accessed by unauthorized people. Also, in the fight against cyber theft we also need to see our regular user's file and folder access patterns. File and folder auditing is the way - it is a two step process that uses group policy and then file security settings. For more visit: https://www.windows10.ninja https://www.servers2016.com Transcript (machine generated so it contains errors) A very good day to you in this video, let's have a look at how to audit access to files and folders and then how to look at the vans and maybe even filter using a little bit of an advanced system towards the the simple thing is it's into processes, one in group policy, you need to enable auditing in the second days for the file or folder in its security section, you need to basically enable auditing there is. I can us. The main two things so will start off by going right to the basics okay, so here we have a folder that we want to audit okay and in A.D. eight has a never filed everything within that folder and its subfolders would like to audit, so the first thing is we can set properties. The security advanced auditing and then basically add the users that you want to we've already added that administrator okay, okay, and then to find click on add accepted and then basically choose that okay we as a consumer oriented case so that's one step. The second step is to go group policy object plan for that you can go to a server manager okay am from server manager, you basically click on tools okay group policy management that brings the to that window okay wage basically then hands the politics of were just doing a quick demo, so were going into group policy objects for the domain hand default domain policy, right click on that click and don't forget to make sure that it's enforced that just regular that and kick and force that means it active. The proposed okay when you click edit okay. That then brings up this window and now in here. Okay, you can do and computer configuration. Our you can do it on user configuration. Okay, it's completely up to you. In this case were choosing it. Based on this computer system. A computer configuration for this domain. Okay then you drill all the policies window set sayings armed security settings. Local policies then you find audit policy and as things were looking at is on honoured object access. Now you can take both of them makes you click on defined success basically someone is trying to accident then be able to accept failure. Some of the accident was unable to locate make sure you have at least one of these boxes ticked, or both. Again, that box checked click okay and the that sets up now basically once computers log off and log back on. They will get the group policy in the domain okay and it's now active and we are selling for this one folder on this computer are basically you could sell it through group policy or by individual folders throughout okay, now a simple little test okay and then I go in here and just click on it and then ingested had some stuff in there. Hello okay same it okay close down and now if we were to go to event viewer which is available from basically server manager or click over here and type in the event you find it. Same thing. Okay, most of these things also are available through the search like a sober here now. It's gonna be in security okay. The key for ideas for 663 even tidy okay now back is what you are looking for you could do a quick filter over here and filter by 4663. Click okay. Then we had all use of their and basically as you can see that they have access then document going back. I access the folder okay and has all that this is great okay, what if we wanted: a garden filter things by user except for this is the advance part where we need to basically use power shall now it's a very simple command harness copy that a gnarled pasted into here, so it's a little bit more readable, but it will give it to a variable first and a dollar event can win event and then filter by and has yet – okay the log name is the security log okay as we showed you in the event. It's a security log okay and then filter my ID, which was the event idea that folder access okay 4663 as we showed over here for 63663 even tidy now. Over here we have another filtering data equals and this is the security ID off. In this case, our administrator okay if we go to one of these assist find it very okay, so if we click on the event we find in the userid for
https://wn.com/Server_2016_And_2012_R2_File_And_Folder_Access_Auditing_And_Monitoring
Tracking Group Policy Changes

Tracking Group Policy Changes

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  • Duration: 31:35
  • Updated: 08 Feb 2012
  • views: 2114
videos
This session will show how to track changes to group policy settings. Determine who made the change and when the change was made. Track when the changes are replicated to your systems.
https://wn.com/Tracking_Group_Policy_Changes
IP SLA/Object tracking for best route, CCNP (v-59)

IP SLA/Object tracking for best route, CCNP (v-59)

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  • Duration: 41:39
  • Updated: 03 Oct 2014
  • views: 13326
videos
Selecting active/working path using IP SLA/Object tracking, while you have single router connected to multiple ISP
https://wn.com/Ip_Sla_Object_Tracking_For_Best_Route,_Ccnp_(V_59)
Target Identification and Tracking Using Hue-Saturation Histograms

Target Identification and Tracking Using Hue-Saturation Histograms

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  • Duration: 8:07
  • Updated: 15 Aug 2011
  • views: 2727
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www.wilselby.com for more information Object Identification and Tracking Algorithm Results Wil Selby Peter Corke Daniela Rus MIT Distributed Robotics Lab Fall 2009 Our object recognition algorithm characterizes the target in the Hue (H) and Saturation (S) plane and then identifies the target in subsequent frames based on this characterization. We require a solution that is robust but also computationally efficient enough to run on our small on-board computer at a high frequency. Techniques such as graph cuts, and MSER are too expensive for this purpose. Object Representation The model used to represent the target is a two-dimensional histogram. First, an initial frame containing the target is captured and converted from RGB color space to HSV color space. A two-dimensional histogram is computed which describes the probability distribution of the HS pair values within the image. Using the threshold values selected by the user, the two-dimensional histogram M is modified so that the values of bins outside the threshold values are set to zero. The resulting histogram, Mt represents the target that the user has identified as a discrete probability distribution. Object Identification After the user defines the threshold values for target identification, the model histogram Mt is used to find all areas in future frames which have a high probability of being the target. For each consecutive frame, the image is converted to HSV color space. The H and S values of each pixel are back-projected through the histogram to form a whale probability image. A greyscale morphological opening operation is used to remove small false positive regions in the back-projection image. Next, a greyscale morphological closing operation is used to join together positive regions which are close in proximity and to fill in small gaps. After the back-projection image has been filtered, contiguous groups of non zero-value pixels are identified as contours. We assume the intended target is large in the image. We eliminate contours with small dimensions based on a user defined minimum perimeter value. Processing continues until there are no contours remaining or until a user defined maximum number of contours has been reached. The center of mass and an axis-aligned bounding box around the contour are plotted to identify the target to the user. Results The resulting whale tracking algorithm performs object recognition using a pixel-level classifier and domain knowledge. We find that image hue and saturation values are suitable invariants to segment whales from other elements in the scene and can be used to estimate the centroid of the moving target. We describe the algorithm and present extensive results over 7,300 frames representing Southern Right whales and Blue whales. The data was collected from a variety of angles under varying lighting conditions. Our results show 98.99% recall for the Southern Right whale footage we collected in Argentina.
https://wn.com/Target_Identification_And_Tracking_Using_Hue_Saturation_Histograms
Match-Move Drone Shots in Resolve! - Resolve 14 Tracking Tutorial

Match-Move Drone Shots in Resolve! - Resolve 14 Tracking Tutorial

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  • Duration: 6:01
  • Updated: 18 Aug 2017
  • views: 5302
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Here's a simple way to stick graphics and titles to moving footage right inside of Resolve 14!
https://wn.com/Match_Move_Drone_Shots_In_Resolve_Resolve_14_Tracking_Tutorial
Scalable 3D Tracking of Multiple Interacting Objects - CVPR 2014

Scalable 3D Tracking of Multiple Interacting Objects - CVPR 2014

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  • Duration: 3:56
  • Updated: 31 Mar 2014
  • views: 6055
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We consider the problem of tracking multiple interacting objects in 3D, using RGBD input and by considering a hypothesize-and-test approach. Due to their interaction, objects to be tracked are expected to occlude each other in the field of view of the camera observing them. A naive approach would be to employ a Set of Independent Trackers (SIT) and to assign one tracker to each object. This approach scales well with the number of objects but fails as occlusions become stronger due to their disjoint consideration. The solution representing the current state of the art employs a single Joint Tracker (JT) that accounts for all objects simultaneously. This directly resolves ambiguities due to occlusions but has a computational complexity that grows geometrically with the number of tracked objects. We propose a middle ground, namely an Ensemble of Collaborative Trackers (ECT) that combines best traits from both worlds to deliver a practical and accurate solution to the multi-object 3D tracking problem. We present quantitative and qualitative experiments with several synthetic and real world sequences of diverse complexity. Experiments demonstrate that ECT manages to track far more complex scenes than JT at a computational time that is only slightly larger than that of SIT. Towards the end of the video, you may see 3D tracking of two articulated hands while they disassemble a kid-toy consisting of 15 rigid objects of similar appearance (a problem of 159 Degrees of Freedom) For more details see: http://www.ics.forth.gr/~argyros/research/ect.html Contriibutors: Nikolaos Kyriazis, Antonis Argyros Reference: N. Kyriazis, A.A. Argyros, "Scalable 3D Tracking of Multiple Interacting Objects", IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), Columbus, Ohio, USA, 24-27 June, 2014.
https://wn.com/Scalable_3D_Tracking_Of_Multiple_Interacting_Objects_Cvpr_2014
Region Growing for Object Tracking

Region Growing for Object Tracking

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  • Duration: 1:47
  • Updated: 16 Oct 2010
  • views: 1114
videos
Shows the advanced region growing method with some modifications. The rectangle shows where the program thinks motion is occurring and groups areas it thinks is part of 1 moving object. A simple test environment is shown. It groups adjacent pixels into blobs, groups of blobs into regions and groups of regions into objects. Part of Final Year EE Engineering Project. USB Camera used for input. VBasic Used for Software.
https://wn.com/Region_Growing_For_Object_Tracking
ECE5-Color Object Tracking & Collecting Car

ECE5-Color Object Tracking & Collecting Car

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  • Duration: 1:53
  • Updated: 20 Mar 2017
  • views: 13
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Group project for UCSB ECE5. We built an intelligent car that can track and collect color objects. Group member: Jiajun Wan, Oliver He, and Xiyuan Zhang
https://wn.com/Ece5_Color_Object_Tracking_Collecting_Car
I98 Seaport installation in Taiwan with Auto Tracking to object - Group People

I98 Seaport installation in Taiwan with Auto Tracking to object - Group People

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  • Duration: 0:57
  • Updated: 23 Jan 2017
  • views: 224
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I98 installed in the Seaport vertical in Taiwan
https://wn.com/I98_Seaport_Installation_In_Taiwan_With_Auto_Tracking_To_Object_Group_People
Multi Object Tracking Crowd Tracking and Group Action Recognition

Multi Object Tracking Crowd Tracking and Group Action Recognition

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  • Duration: 23:26
  • Updated: 17 Sep 2017
  • views: 0
videos
https://wn.com/Multi_Object_Tracking_Crowd_Tracking_And_Group_Action_Recognition
CS:GO - IDIOT ADVENTURES #2 Ft. Meebro Review Kitchen ( SHARP OBJECTS )

CS:GO - IDIOT ADVENTURES #2 Ft. Meebro Review Kitchen ( SHARP OBJECTS )

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  • Duration: 9:27
  • Updated: 16 Dec 2016
  • views: 60155
videos
Snuff sniff... you smell that? Storm a brewing ;). It's coming from the east. Soon�� ** MORE BELOW ** Meanwhile, I do some accidents, people do silly things, some people get scared. www.csgoknives.co.uk if you are want sharp objects TWITCH: https://www.twitch.tv/failubrutus TWITTER: https://twitter.com/FailuCSGO STEAM: http://steamcommunity.com/groups/ClubFailu My Setup: http://kit.com/Failu Music By Dunderpatrullen TRACK: To The Moon ft. Fantomenk https://soundcloud.com/dunderpatrullen https://www.facebook.com/Dunderpatrullen https://www.youtube.com/user/UrbanTrasa http://dunderpatrullen.nu/
https://wn.com/Cs_Go_Idiot_Adventures_2_Ft._Meebro_Review_Kitchen_(_Sharp_Objects_)
GoGo Penguin - Man Made Object (2016)

GoGo Penguin - Man Made Object (2016)

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  • Duration: 1:02:02
  • Updated: 25 Jul 2016
  • views: 199465
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Sólo para difusión, apoya al artista y de ser posible compra el original. Support and get the band stuff here: http://gogopenguin.co.uk/ * This record is for purposes of dissemination and non commercial use. ......................................................................................................................... Tracklist: 01. All Res 02. Unspeakable World 03. Branches Break 04. Weird Cat 05. Quiet Mind 06. Smarra 07. Initiate 08. Gbfisysih 09. Surrender to Mountain 10. Protest 12. Unspeakable World (Matthew Herbert's Onc Workout) 13. Initiate (Stray Remix) 14. All Res (Dabrye Remix) ------------- "In his 1982 film, Koyaanisqatsi, director Godfrey Reggio sought to explain the relationship between human beings, nature and technology. He presented a gorgeous collage of scenic landscapes and rolling clouds, set against an equally riveting score. The movie said everything it needed without any spoken dialogue, which can be nearly impossible in cinema and music. Jazz trio GoGo Penguin rescored the film in a one-off event this past fall, which makes total sense the more you assess the band’s art. Drummer Rob Turner, bassist Nick Blacka and pianist Chris Illingworth fuse classical and electronic elements while keeping with jazz’s improvised nature. Much like Koyaanisqatsi, GoGo Penguin’s music is full of subtle shifts that allow its composers to shine equally. For Man Made Object, the band’s third album, many of its 10 tracks started as electronic compositions, created on Logic and Ableton by the group’s percussionist. GoGo Penguin opts for an energized sound on Man Made Object, conjuring pastoral imagery while loosely exploring scientific concepts. Between its title and multifaceted sonic approach, the LP seems directly influenced by Koyaanisqatsi, bringing to mind the same sorts of aerial views we see during the movie’s 86 minutes. The album comes on the heels of a revival of sorts for jazz music, where artists like Kendrick Lamar, David Bowie, Flying Lotus and Kamasi Washington fused the genre with their own blends of rap, rock, electronica and soul. The success of their respective LPs brought jazz back into mainstream view and made it more accessible for younger listeners. Man Made Object resides in similar space. Much like the band’s first two albums—Fanfares and v2.0, the latter of which was shortlisted for a Mercury Prize Album of the Year—the band’s new album takes hold right away and sustains an upbeat groove. Even in its quieter moments, like those on “GBFISYSIH” and “Initiate,” they carry a reflective vibe without losing momentum. GoGo Penguin creates jazz in the same vein as Robert Glasper: It’s a piano-driven blend with all the traditional aspects you’d expect from the genre while still scanning as something refreshingly vibrant and contemporary. Theirs is a percussive strain of frenetic drum breaks and rock-infused instrumentals, like on “Smarra,” where a fluttering bass line takes center stage, ramping up the rhythm until it burns to a smoldering heap. It’s the best moment of an album filled with unique creative twists. Yet despite these details, Man Made Object is largely devoid of standout, calling-card tracks. “Smarra” and “Protest” hit hardest at first glance, but the other tracks take longer to build up, one leading to the next for a unified listening experience. Man Made Object is tailor-made for laid-back enjoyment, to be consumed at a moderate volume without much fuss. It marks a nice step forward for a group that lives comfortably beyond artistic restraints."
https://wn.com/Gogo_Penguin_Man_Made_Object_(2016)
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