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Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.

Python 100.00%
vehicle-counting yolo python-yolo detection car-counting speed-estimation traffic-management ai artificial-intelligence computer-vision

vehicle-counting-using-python-yolo's Introduction

vehicle-counting-using-python-yolo

Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.

SCREENSHOT ps: The car with-1.5Km/h is actually going in reverse :D

This project use YOLOv3 for Vehicle detection and SORT(Simple Online and Realtime Tracker) for vehicle tracking

To run the project:

  1. Download the code or simply run: git clone https://github.com/bamwani/vehicle-counting-using-python-yolo in the terminal

  2. Make sure you change the line of detection according to your video and fine tune the threshold and confidence for YOLO model

  3. Run main.py -input /path/to/video/file.avi -output /path/for/output/file.avi -yolo /path/to/YOLO/directory/

I will keep making commits to improve the speed detection of vehicles. I have tried Kalman filter but it fails to work in conjusted traffic and side angle positioned cameras.

References:

YOLO

SORT Algorithm

Reference

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vehicle-counting-using-python-yolo's Issues

speed

How is the speed detection in the picture done?

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