Tracking the movement of a finger is an important feature of many computer vision applications. In this application, A histogram based approach is used to separate out the hand from the background frame. Thresholding and Filtering techniques are used for background cancellation to obtain optimum results.
Finger Detection and Tracking using OpenCV and Python
Go to the Finger Detection and Tracking directory. Then,
- Install the dependencies
pip install pipenv pipenv shell pipenv install
- Run the code with command
cd "Finger Detection and Tracking" && python FingerDetection.py
- Put your parm over the green squares
- Then, press
z
key to start tracking - Finish program with
Esc
key.
You can report the bugs at the issue tracker
OR
You can tweet me if you can't get it to work. In fact, you should tweet me anyway.
Built with ♥ by Amar Prakash Pandey(@amarlearning) under BSD 2-Clause "Simplified" License
You can find a copy of the License at BSD 2-Clause "Simplified" License