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Motion Tracking with OpenCV

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This repository contains OpenCV demonstrations of selected algorithms related to motion tracking:

This is part of a course output in a computer vision class for master's students under Dr. Joel P. Ilao of the Department of Computer Technology, De La Salle University.

A copy of the presentation slides accompanying this code demonstration can be accessed via this link.

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Assets (images and videos) are properties of their respective owners. Reference code attribution is provided in the Jupyter notebook.

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OpenCV demonstrations of selected algorithms related to motion tracking: (1) mean shift, (2) CAMSHIFT, (3) iterative Lucas-Kanade algorithm with pyramids, and (4) Farnebäck's algorithm

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  • Jupyter Notebook 100.0%