• 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
  • Detection and tracking of groups in crowd

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

    published: 23 Aug 2013
  • Replace signs and logos in After effects

    Av-Ultra Stanislaw Robert Luberda www.stanislawrobertluberda.com Did you know if you have After effects, you already have Mocha AE for free? Learn different ways to track a sign in moving footage and replace it quick and painlessly using Mocha AE. If you have adobe cc you already have Mocha AE installed, so theres no need for additional plugins. I review using the rigid mask tracker and why it's not always the best use, along with how to launch Mocha Ae, basic uses and techniques for replacing logos and signs. If you are looking for more training in Mocha, After Effects, and other video production software, I offer several classes and training through my website at www.stanislawrobertluberda.com. There I have full classes on Adobe After Effects, Element3d, Mocha, Premiere Pro, Fi...

    published: 25 Oct 2015
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 70-410 Objective 2.2 - Deploying Printers with Active Directory and Windows Server 2012 R2 Lab

    This deploying printers with Active Directory video, covers three methods of deploying printers with AD. It follows along in the 70-410 series and the ExamRef book for objective 2.2. In this video I will cover deploying printers with GPO via the Print Management console. We will further investigate the problems associated with deploying a printer using the Print Management console. We will also cover deployment of printers via GPO and preferences. I further cover item level targeting which overcomes some problems. We also examine how to setup and use location based printing also known as printer location tracking with Active Directory. I explain how to setup the location schema in Active Directory Sites and Services for Sites and Subnets as well as how printer location tracking works and w...

    published: 20 Mar 2015
  • Premiere Pro Call Out Tracking Tutorial by Chung Dha

    In this video tutorial I am showing you how to make an Call Out Tracking effect inside of Adobe Premiere Pro CC2017 using the new essential graphics pen tool to make a text call out. Edited with Adobe Premiere Pro - http://goo.gl/k2EagF For any Question Please Join our Facebook Group: https://www.facebook.com/groups/chungdhagroup Hi! My name is Chung Dha, if you ever meet me IRL you can also say Jona. I am a Photographer, Awards winning Filmmaker and Graphic Designer from Rotterdam,The Netherlands. This channel is all about information, tutorials and more to help filmmakers and I personally like to checkout new tech and even make my own. Other things you will find on this channel are a lot of editing tutorials, travel vlogs and DIY tutorials. If you want to know what I am doing or be po...

    published: 19 Jul 2017
  • Premiere Pro Text / Title Tracking Tutorial by Chung Dha

    In this video tutorial I am showing you a quick way to do a manual text or title tracking in Adobe Premiere Pro CC 2017. Even though it is a manual keyframe method, but its actually quite easy and fast to do manually once you know this trick. Edited with Adobe Premiere Pro - http://goo.gl/k2EagF For any Question Please Join our Facebook Group: https://www.facebook.com/groups/chungdhagroup Hi! My name is Chung Dha, if you ever meet me IRL you can also say Jona. I am a Photographer, Awards winning Filmmaker and Graphic Designer from Rotterdam,The Netherlands. This channel is all about information, tutorials and more to help filmmakers and I personally like to checkout new tech and even make my own. Other things you will find on this channel are a lot of editing tutorials, travel vlogs an...

    published: 18 Jul 2017
  • 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
  • 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
  • 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
  • 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
  • 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
  • DaVinci Resolve 14 Motion Tracking Text Tutorial

    How to track text to an object in the Resolve 14! Try Amazon Prime for 30 Days Free: https://goo.gl/wU3acm Try Audible and Get Two Free Audiobooks: http://goo.gl/mH84M7

    published: 04 Jul 2017
  • Nikon AF Modes

    Confused by Nikon AF modes? Not sure if you should use single point, dynamic, or group AF? Not sure how to setup your custom functions menu to get the most from it for your style of shooting? Then check out this video and I'll explain all the critical information you need to know for Nikon's AF system - and how I personally use them in my wildlife action photography. Get the book: http://www.backcountrygallery.com/secrets-to-stunning-wildlife-photography/ See the site & get the e-mail newsletter: http://www.backcountrygallery.com/

    published: 09 May 2015
  • 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
  • Tracking in Nuke - Part 2

    This video shows you the basics of tracking and compositing in Nuke. It shows you how to get this result: http://youtu.be/9osrWIOb1Io Due to the length of this video I have broken it up into two parts. The first part was uploaded 2 days ago, due to a few internet problems This upload took me more time than expected. This part of the tutorial shows you how to generate point cloud from a tracked camera, generate a mesh, project textures and finally composite them together. You can find the part-1 of this tutorial here http://youtu.be/I-GIrVNpnmQ The source footage used in this tutorial can be found here https://gum.co/xuxe In this first part I show you the basics of tracking, including auto-tracking, manual user-tracking, assisted user-tracking, scene orientation + scaling and finalizing...

    published: 11 Dec 2013
  • Directional Moving Object Tracking in 2D with the Extended Kalman Filter on Matrix Lie Groups

    The moving loudspeaker is tracked with a microphone array. The reference ground truth is obtained with the motion capture system.

    published: 22 Sep 2016
  • 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
developed with YouTube
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: 4799
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
Detection and tracking of groups in crowd

Detection and tracking of groups in crowd

  • Order:
  • Duration: 4:34
  • Updated: 23 Aug 2013
  • views: 2422
videos
Method for automatically locating and tracking groups of people in a video.
https://wn.com/Detection_And_Tracking_Of_Groups_In_Crowd
Replace signs and logos in After effects

Replace signs and logos in After effects

  • Order:
  • Duration: 30:28
  • Updated: 25 Oct 2015
  • views: 4968
videos
Av-Ultra Stanislaw Robert Luberda www.stanislawrobertluberda.com Did you know if you have After effects, you already have Mocha AE for free? Learn different ways to track a sign in moving footage and replace it quick and painlessly using Mocha AE. If you have adobe cc you already have Mocha AE installed, so theres no need for additional plugins. I review using the rigid mask tracker and why it's not always the best use, along with how to launch Mocha Ae, basic uses and techniques for replacing logos and signs. If you are looking for more training in Mocha, After Effects, and other video production software, I offer several classes and training through my website at www.stanislawrobertluberda.com. There I have full classes on Adobe After Effects, Element3d, Mocha, Premiere Pro, Final cut pro, Apple Motion and more. If you are in the midwest I am based in Milwaukee and offer face to face classes in a classroom environment for up to groups of 6 at a time. Be sure to hit subscribe for more free tutorials.
https://wn.com/Replace_Signs_And_Logos_In_After_Effects
Cisco Enhanced Object Tracking Tutorial

Cisco Enhanced Object Tracking Tutorial

  • Order:
  • Duration: 8:22
  • Updated: 12 Apr 2010
  • views: 4151
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
Tracking Group Policy Changes

Tracking Group Policy Changes

  • Order:
  • Duration: 31:35
  • Updated: 08 Feb 2012
  • views: 2059
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
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: 1396
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
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: 15181
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
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: 15067
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
Scalable 3D Tracking of Multiple Interacting Objects - CVPR 2014

Scalable 3D Tracking of Multiple Interacting Objects - CVPR 2014

  • Order:
  • Duration: 3:56
  • Updated: 31 Mar 2014
  • views: 5869
videos
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
Adobe Premiere: Mask Tracking

Adobe Premiere: Mask Tracking

  • Order:
  • Duration: 3:13
  • Updated: 29 Jul 2014
  • views: 191308
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
70-410 Objective 2.2 - Deploying Printers with Active Directory and Windows Server 2012 R2 Lab

70-410 Objective 2.2 - Deploying Printers with Active Directory and Windows Server 2012 R2 Lab

  • Order:
  • Duration: 20:14
  • Updated: 20 Mar 2015
  • views: 55960
videos
This deploying printers with Active Directory video, covers three methods of deploying printers with AD. It follows along in the 70-410 series and the ExamRef book for objective 2.2. In this video I will cover deploying printers with GPO via the Print Management console. We will further investigate the problems associated with deploying a printer using the Print Management console. We will also cover deployment of printers via GPO and preferences. I further cover item level targeting which overcomes some problems. We also examine how to setup and use location based printing also known as printer location tracking with Active Directory. I explain how to setup the location schema in Active Directory Sites and Services for Sites and Subnets as well as how printer location tracking works and what the user will expect to see. Note: disregard the Sales printer disappearing at 17:40, it was not part of the video… I ran into issues and the fix was rebooting the client machine to fix it… I edited out that part to save you from my frustration and forgot I used a different user to logon with. I create the users for the various labs via a PowerShell script - 0:30 A quick tour of Active Directory for the lab - 0:50 Beginning of deploy printer with Active Directory through the Print Management console - 1:25 Quick creation of printers for the lab - 2:05 Creation of the Group Policy Object for deployment of printers with AD - 2:25 How to deploy a printer using the Print Management console - 3:06 Testing deployment a printer using the Print Management console - 4:28 Problems with deploying a printer using the Print Management console - 4:48 How to deploy printers using the GPO preferences method - 6:05 How to use Item level targeting with the GPO preferences method - 7:10 Testing of the GPO preferences method and item level targeting for the sales users - 8:00 Testing of the GPO preferences method and item level targeting for the tech users - 9:01 How to use Printer Location Tracking - 9:35 Enabling the GPO setting for the Pre-populate printer search location test - 10:43 Setup of Active Directory Sites and Services for the location schema - 12:04 Setup of printers for the location based off of the location schema - 14:20 A quick example of what location tracking does for us during configuration - 16:46 I explain how printer location tracking will work - 17:45 What the client will see when you use printer location tracking and AD - 17:40 Deploying Printers with the Print Management Console https://technet.microsoft.com/en-us/library/cc753109%28v=ws.10%29.aspx#BKMK_3 GP Preferences: Add a new printer, set as default http://blogs.technet.com/b/grouppolicy/archive/2009/06/24/gp-preferences-set-a-default-printer.aspx Printer Location Tracking https://technet.microsoft.com/en-us/library/cc784120%28v=ws.10%29.aspx
https://wn.com/70_410_Objective_2.2_Deploying_Printers_With_Active_Directory_And_Windows_Server_2012_R2_Lab
Premiere Pro Call Out Tracking Tutorial by Chung Dha

Premiere Pro Call Out Tracking Tutorial by Chung Dha

  • Order:
  • Duration: 3:39
  • Updated: 19 Jul 2017
  • views: 27428
videos
In this video tutorial I am showing you how to make an Call Out Tracking effect inside of Adobe Premiere Pro CC2017 using the new essential graphics pen tool to make a text call out. Edited with Adobe Premiere Pro - http://goo.gl/k2EagF For any Question Please Join our Facebook Group: https://www.facebook.com/groups/chungdhagroup Hi! My name is Chung Dha, if you ever meet me IRL you can also say Jona. I am a Photographer, Awards winning Filmmaker and Graphic Designer from Rotterdam,The Netherlands. This channel is all about information, tutorials and more to help filmmakers and I personally like to checkout new tech and even make my own. Other things you will find on this channel are a lot of editing tutorials, travel vlogs and DIY tutorials. If you want to know what I am doing or be posted of the next video, subscribe to my channel or follow me on my other social media. 🎭 Facebook: http://www.facebook.com/chungdha 🌐 Website: http://www.chungdha.com 📷 Instagram: @chungdha 🐦 Twitter https://twitter.com/chungdha Business Inquiries, Sponsors & Collaboration email contact@chungdha.com Chung Dha © 2017 Rotterdam, The Netherlands (Nederland)
https://wn.com/Premiere_Pro_Call_Out_Tracking_Tutorial_By_Chung_Dha
Premiere Pro Text / Title Tracking Tutorial by Chung Dha

Premiere Pro Text / Title Tracking Tutorial by Chung Dha

  • Order:
  • Duration: 3:42
  • Updated: 18 Jul 2017
  • views: 26786
videos
In this video tutorial I am showing you a quick way to do a manual text or title tracking in Adobe Premiere Pro CC 2017. Even though it is a manual keyframe method, but its actually quite easy and fast to do manually once you know this trick. Edited with Adobe Premiere Pro - http://goo.gl/k2EagF For any Question Please Join our Facebook Group: https://www.facebook.com/groups/chungdhagroup Hi! My name is Chung Dha, if you ever meet me IRL you can also say Jona. I am a Photographer, Awards winning Filmmaker and Graphic Designer from Rotterdam,The Netherlands. This channel is all about information, tutorials and more to help filmmakers and I personally like to checkout new tech and even make my own. Other things you will find on this channel are a lot of editing tutorials, travel vlogs and DIY tutorials. If you want to know what I am doing or be posted of the next video, subscribe to my channel or follow me on my other social media. 🎭 Facebook: http://www.facebook.com/chungdha 🌐 Website: http://www.chungdha.com 📷 Instagram: @chungdha 🐦 Twitter https://twitter.com/chungdha Business Inquiries, Sponsors & Collaboration email contact@chungdha.com Chung Dha © 2017 Rotterdam, The Netherlands (Nederland)
https://wn.com/Premiere_Pro_Text_Title_Tracking_Tutorial_By_Chung_Dha
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: 51
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
Object Tracking with LabVIEW

Object Tracking with LabVIEW

  • Order:
  • Duration: 0:57
  • Updated: 13 Dec 2013
  • views: 7421
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
Region Growing for Object Tracking

Region Growing for Object Tracking

  • Order:
  • Duration: 1:47
  • Updated: 16 Oct 2010
  • views: 1099
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
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: 5442
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
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: 479
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
DaVinci Resolve 14 Motion Tracking Text Tutorial

DaVinci Resolve 14 Motion Tracking Text Tutorial

  • Order:
  • Duration: 8:16
  • Updated: 04 Jul 2017
  • views: 12510
videos
How to track text to an object in the Resolve 14! Try Amazon Prime for 30 Days Free: https://goo.gl/wU3acm Try Audible and Get Two Free Audiobooks: http://goo.gl/mH84M7
https://wn.com/Davinci_Resolve_14_Motion_Tracking_Text_Tutorial
Nikon AF Modes

Nikon AF Modes

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  • Duration: 12:06
  • Updated: 09 May 2015
  • views: 409447
videos
Confused by Nikon AF modes? Not sure if you should use single point, dynamic, or group AF? Not sure how to setup your custom functions menu to get the most from it for your style of shooting? Then check out this video and I'll explain all the critical information you need to know for Nikon's AF system - and how I personally use them in my wildlife action photography. Get the book: http://www.backcountrygallery.com/secrets-to-stunning-wildlife-photography/ See the site & get the e-mail newsletter: http://www.backcountrygallery.com/
https://wn.com/Nikon_Af_Modes
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: 2690
videos
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
Tracking in Nuke - Part 2

Tracking in Nuke - Part 2

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  • Duration: 41:32
  • Updated: 11 Dec 2013
  • views: 30408
videos
This video shows you the basics of tracking and compositing in Nuke. It shows you how to get this result: http://youtu.be/9osrWIOb1Io Due to the length of this video I have broken it up into two parts. The first part was uploaded 2 days ago, due to a few internet problems This upload took me more time than expected. This part of the tutorial shows you how to generate point cloud from a tracked camera, generate a mesh, project textures and finally composite them together. You can find the part-1 of this tutorial here http://youtu.be/I-GIrVNpnmQ The source footage used in this tutorial can be found here https://gum.co/xuxe In this first part I show you the basics of tracking, including auto-tracking, manual user-tracking, assisted user-tracking, scene orientation + scaling and finalizing your track. If you find my videos helpful, support me by purchasing • goo.gl/vLxIZP • goo.gl/jF45NU Follow upcoming tutorials and vote on the ones you like on facebook facebook.com/groups/359017267486301/, facebook.com/eosacro
https://wn.com/Tracking_In_Nuke_Part_2
Directional Moving Object Tracking in 2D with the Extended Kalman Filter on Matrix Lie Groups

Directional Moving Object Tracking in 2D with the Extended Kalman Filter on Matrix Lie Groups

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  • Duration: 2:37
  • Updated: 22 Sep 2016
  • views: 80
videos
The moving loudspeaker is tracked with a microphone array. The reference ground truth is obtained with the motion capture system.
https://wn.com/Directional_Moving_Object_Tracking_In_2D_With_The_Extended_Kalman_Filter_On_Matrix_Lie_Groups
Object Group Selection Using Eye Gaze Interaction

Object Group Selection Using Eye Gaze Interaction

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  • Duration: 2:00
  • Updated: 18 Dec 2012
  • views: 168
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
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