DESCRIPTION:
The aim of this project is to implement the Lucas-Kanade (LK) template tracker. Then to evaluate the code on three video sequences from the Visual Tracker benchmark database: featuring a car on the road, a baby fighting a dragon, and Usain bolt’s race. Python Version: 3.x Packages Required:
- numpy
- openCV
- glob
FILE TREE:
Code | | ----- python scripts | ----- data (already consists of template images, additionally place your dataset here) Report.pdf README.md
INSTRUCTION:
To run the codes:
- Check the file paths given in the code and create the dataset folders accordingly.
- Run the python files in the current directory which contains all the codes. 2.1 For Bolt video sequence run python3 bolt.py 2.2 For Car video sequence run python3 car.py 2.3 For Baby with Dragon video sequence run python3 baby.py
Additional References:
In order to get more information visit the below GitHub link: https://github.com/akdhandy/ENPM-673-Project-4-Lucas-Kanade-Tracker