# opencv **Repository Path**: mirrors_lepy/opencv ## Basic Information - **Project Name**: opencv - **Description**: Finger Detection and Tracking - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-09-25 - **Last Updated**: 2025-07-02 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Finger Detection and Tracking [![HitCount](http://hits.dwyl.io/amarlearning/opencv.svg)](http://hits.dwyl.io/amarlearning/opencv) [![MIT LICENSE](https://img.shields.io/pypi/l/pyzipcode-cli.svg)](http://amarlearning.mit-license.org/) [![Issues](https://camo.githubusercontent.com/926d8ca67df15de5bd1abac234c0603d94f66c00/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f636f6e747269627574696f6e732d77656c636f6d652d627269676874677265656e2e7376673f7374796c653d666c6174)](https://github.com/amarlearning/opencv/issues) [![Say Thanks!](https://img.shields.io/badge/SayThanks.io-%E2%98%BC-1EAEDB.svg)](https://saythanks.io/to/amarlearning) > 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. ## Tutorial [Finger Detection and Tracking using OpenCV and Python](https://blog.amarpandey.me/finger-detection-and-tracking-using-opencv-and-python-363ac451c00d) ## Demo [![Demo GitHub Sectory](https://cdn-images-1.medium.com/max/1040/1*ngmwjSu1gt4mmqhm9JJcpg.jpeg)](https://www.youtube.com/watch?v=P3dUePye_-k) ## Issues You can report the bugs at the [issue tracker](https://github.com/amarlearning/opencv/issues) **OR** You can [tweet me](https://twitter.com/iamarpandey) if you can't get it to work. In fact, you should tweet me anyway. *** ## License Built with ♥ by Amar Prakash Pandey([@amarlearning](http://github.com/amarlearning)) under [MIT License](http://amarlearning.mit-license.org/) You can find a copy of the License at http://amarlearning.mit-license.org/