Computer Vision for Student Competitions: Motion Estimation
版本 1.0.0.0 (13.5 MB) 作者:
MathWorks Student Competitions Team
Motion Estimation (Chapter 7): Computer Vision Training for Student Competition Teams
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.
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MathWorks Student Competitions Team (2024). Computer Vision for Student Competitions: Motion Estimation (https://github.com/sseshadr/auvsi-cv-motionEstimation), GitHub. 检索来源 .
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- Image Processing and Computer Vision > Computer Vision Toolbox > Tracking and Motion Estimation >
- Image Processing and Computer Vision > Computer Vision Toolbox > Tracking and Motion Estimation > Motion Estimation >
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