Object Detection and Object Tracking with Opencv
This repository contains some image processing solution implemented with opencv in python including optical flow, face tracking, eye tracking, etc.
Table of contents
| Source | Description | |
|---|---|---|
| 1 | Frame Differencing | Taking differences between consecutive frames. Display the difference. Identifying moving parts. |
| 2 | Object Tracking Using Color Spaces | Tracking objects using HSV color space which performs better than rgb in object detection tasks. Improve robustness comparing to previous method. Use it to detect human skin. |
| 3 | Object Detection Using Background Subtraction | Build an adaptive model that represents background in a video. Use the model to detect moving objects. |
| 4 | Object Tracking Using CAM-Shift Algorithm | Select an object in a live video. use mean shift to track that object. |
| 5 | Optical Flow Based Tracking | Optical flow and its process. Extract feature points and create tracking lines. |
| 6 | Face Detection and Tracking | Automatically detect and track face and eyes separately. |
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.