Computer Vision for Student Competitions: Object Tracking

Object Tracking (Chapter 8) : Computer Vision for Student Competition Teams
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Updated Thu, 23 Mar 2017 14:06:57 +0000

Learn how to track an object across video frames. Object tracking using histogram based tracking, tracking occluded or hidden objects using a Kalman Filter, and multiple objects tracking are covered. An example of tracking a moving ball will be used.

Cite As

MathWorks Student Competitions Team (2024). Computer Vision for Student Competitions: Object Tracking (https://github.com/sseshadr/auvsi-cv-objectTracking), GitHub. Retrieved .

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1.0.0.0

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Published to GitHub.

To view or report issues in this GitHub add-on, visit the GitHub Repository.
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