Answers.Body: <ul>
  <li>OpenCV is a good repository of computer vision resources. An example of how to select and track a region of interest is given here: <a href="https://docs.opencv.org/3.4.0/d2/d0a/tutorial_introduction_to_tracker.html" rel="nofollow noreferrer">https://docs.opencv.org/3.4.0/d2/d0a/tutorial_introduction_to_tracker.html</a> 
  
  <ul>
  <li>Also see an example blog post here: <a href="https://www.learnopencv.com/object-tracking-using-opencv-cpp-python/" rel="nofollow noreferrer">https://www.learnopencv.com/object-tracking-using-opencv-cpp-python/</a> </li>
  </ul></li>
  <li>More state of the art research results and code in visual object tracking are maintained at the following website: <a href="http://www.votchallenge.net/vot2017/trackers.html" rel="nofollow noreferrer">http://www.votchallenge.net/vot2017/trackers.html</a></li>
  </ul>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-06-06T07:56:12.577Z
Answers.LastActivityDate: 2018-06-06T07:56:12.577Z
Answers.UserDisplayName: schwedentorte
Body: <p>Is there any (Open Source or Low Cost) software that can track x,y position of objects in live video?</p>
  
  <p>An example would be tracking the position of a player in a soccer match.</p>
  
Tags: <video><live><broadcasting><tracking>
Title: Live Video object tracking
UserDisplayName: AlexL
ThreadText: # Live Video object tracking
  
  (Asked by: username_0 on 2018-06-05)
  
  Is there any (Open Source or Low Cost) software that can track x,y position of objects in live video?
  
  An example would be tracking the position of a player in a soccer match.
  
  **Tags:** video, live, broadcasting, tracking
  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2018-06-06. Score: 1
  
  * OpenCV is a good repository of computer vision resources. An example of how to select and track a region of interest is given here: <https://docs.opencv.org/3.4.0/d2/d0a/tutorial_introduction_to_tracker.html>
    + Also see an example blog post here: <https://www.learnopencv.com/object-tracking-using-opencv-cpp-python/>
  * More state of the art research results and code in visual object tracking are maintained at the following website: <http://www.votchallenge.net/vot2017/trackers.html>
  
  
  ---
  
  