Motion Detection and Tracking with OpenCV

Level 3: Real-World

Project Description

In this project, you will learn how to detect motion in a video feed and highlight the moving objects. This can be used for applications like surveillance systems or automated video editing. Motion can be detected by Python using the OpenCV library by comparing consecutive frames from a video to detect changes/motion. Then, we highlight the regions in the frame where motion was detected.

How the Project Works

The program starts the computer webcam and detects motion as shown in the following video:

Prerequisites

Required Libraries: cv2
Installation: pip install opencv-python
Required Files: No files are required for this project.
IDE: You can use any IDE on your computer to code the project.

Danger Zone

Here is the code solution: