Computer Vision for Student Competitions: Motion Estimation

Version 1.0.0.0 (13.5 MB) by MathWorks Student Competitions Team

Motion Estimation (Chapter 7): Computer Vision Training for Student Competition Teams

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

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Updated 23 Mar 2017

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Learn how we perceive motion and how to estimate motion using a technique called Optical Flow. You can use three algorithms to implement optical flow using the Computer Vision Toolbox. These three algorithms are Horn-Schunck method, Farneback method, and Lucas-Kanade method. An example of a robot boat moving through a field of buoys will be used.

Cite As

MathWorks Student Competitions Team (2026). Computer Vision for Student Competitions: Motion Estimation (https://github.com/sseshadr/auvsi-cv-motionEstimation), GitHub. Retrieved January 9, 2026.

MATLAB Release Compatibility

Created with R2016a

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Version	Published	Release Notes
1.0.0.0	23 Mar 2017	Description Updated Published to GitHub

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