Computer Vision for Student Competitions: Object Tracking

Object Tracking (Chapter 8) : Computer Vision for Student Competition Teams

https://github.com/sseshadr/auvsi-cv-objectTracking

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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 (2026). Computer Vision for Student Competitions: Object Tracking (https://github.com/sseshadr/auvsi-cv-objectTracking), GitHub. Retrieved .

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Find more on Track Objects and Estimate Motion in Help Center and MATLAB Answers

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