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Computer Vision for Student Competitions: Object Tracking

version 1.0.0.0 (8.74 MB) by MathWorks Student Competitions Team
Object Tracking (Chapter 8) : Computer Vision for Student Competition Teams

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Updated 23 Mar 2017

GitHub view license on GitHub

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 (2020). Computer Vision for Student Competitions: Object Tracking (https://github.com/sseshadr/auvsi-cv-objectTracking), GitHub. Retrieved .

Comments and Ratings (4)

saikumar ratna

how to execute it

Linda

Pre pra

Kh. Islam

Thank you for your sharing.

Updates

1.0.0.0

Description Updated

1.0.0.0

Published to GitHub.

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
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