https://github.com/ayu-ano/basic_object-detection

End to End Basic object Detection using Open CV
https://github.com/ayu-ano/basic_object-detection

background-substraction-algorithm cv2 masking math mixture-of-gaussians numpy python3

Last synced: 2 months ago
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End to End Basic object Detection using Open CV

• Host: GitHub
• URL: https://github.com/ayu-ano/basic_object-detection
• Owner: ayu-ano
• Created: 2024-03-13T16:11:18.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-09-18T18:27:26.000Z (almost 2 years ago)
• Last Synced: 2025-10-05T11:42:37.761Z (9 months ago)
• Topics: background-substraction-algorithm, cv2, masking, math, mixture-of-gaussians, numpy, python3
• Language: Python
• Homepage:
• Size: 10.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Basic Object Detection using OpenCV

This repository contains code for basic object detection using OpenCV in Python. The code uses a simple background subtraction technique along with Euclidean distance-based tracking to detect and track objects in a video stream.

## Prerequisites

Make sure you have the following dependencies installed:

- Python 3.x

- OpenCV

- NumPy

## Vehicle Detection

![image](Main/out/image3.png)

![image](Main/out/image2.png)

## Output

![image](Main/out/image.png)

This script will use a pre-recorded video (`highway2.mp4`), apply background subtraction, detect objects, and track them using Euclidean distance.

## Customization

You can modify the following parameters in the `main.py` script:

- ROI (Region of Interest): Adjust the ROI to focus on a specific area in the video frame.

- Thresholds: Modify the thresholds used in background subtraction and contour detection to improve object detection accuracy.

- Keybindings: Press 'ESC' to exit the application.

## Acknowledgments

- Inspired by the [OpenCV](https://opencv.org/) library.