A comprehensive collection of object tracking algorithms implemented in Python.
This repository serves as a practical guide and toolkit for understanding, experimenting with, and comparing different computer vision tracking methods.
Object tracking is a fundamental problem in computer vision, where the goal is to locate and follow objects across frames in a video sequence.
You can test the algorithms using this sample video:
Sample Input Video
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Here are some sample outputs from the implemented detection algorithm (YOLO):
| Detection Output 1 | Detection Output 2 |
| Detection Output 3 | Detection Output 4 |
git clone https://github.com/your-username/object-tracking-algorithms.git
cd object-tracking-algorithmsAuthor / Contact
Author: Dr. Amit Chougule, PhD