Motion Detection using OpenCV

This Python project uses OpenCV to detect motion in a video file and draws bounding boxes around moving objects. It's a simple yet practical example of motion detection for various applications, including surveillance, security, and more.

Features

• Motion detection using frame differencing and thresholding.
• Bounding boxes drawn around moving objects.
• Real-time monitoring of detected moments.
• User-friendly and easily customizable.

How it Works

The code uses the following steps to detect motion in a video:

• Load a video file.
• Initialize the first frame and preprocess it.
• Continuously read frames, apply motion detection, and draw bounding boxes.
• Display the frames in real-time with detected moments.

Prerequisites

Before running the code, make sure you have the following dependencies installed:

• Python 3.x
• OpenCV (Open Source Computer Vision Library)

You can install OpenCV using pip:

pip install opencv-python

Contributors

Tanmay Bharambe