Computer Vision for Student Competitions: Object Tracking
Updated 23 Mar 2017
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.
MathWorks Student Competitions Team (2021). Computer Vision for Student Competitions: Object Tracking (https://github.com/sseshadr/auvsi-cv-objectTracking), GitHub. Retrieved .
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