Crowd Counter

Crowd Counter is a Python application designed to count people in a video feed, particularly useful for monitoring crowd density in public spaces. Developed using Tkinter for the GUI and OpenCV for computer vision tasks, the application allows users to select a video file (.mp4, .mkv, .avi) and then analyzes it frame by frame.

Features:

Background subtraction technique to detect moving objects. Contour detection and tracking to identify individuals. Counting of people moving up and down within defined boundaries. Real-time display of total counts and updates during video playback.

How to Use:

Run the application and click the "Select Video" button to choose a video file. Click the "Count Crowd" button to initiate the analysis process. The application will display the total counts of people moving up and down in the video.

Requirements:

Python 3.x

Tkinter

OpenCV

Pillow (PIL)

Installation:

Clone the repository to your local machine. Install the required dependencies using pip install -r requirements.txt. Run the application with python crowd_counter.py.

Contributing:

Contributions are welcome! Feel free to fork the repository, make improvements, and submit pull requests.