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A simple vehicle detection and trackig solution using yolov3 and DeepSORT.

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pucha48/vehicle_detection_tracking

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Project Name: Vehicle Detection and tracking

The aim is to detect vehicles and track them with individual IDs and estimate the speed.

following pretrained models has been used

  1. Yolov3 - detection
  2. DeepSORT - tracking

For speed estimate time stamp based pixel covered is calculated. As a sample mapping is considered (one meter in every 3 pixel) speed of the vehicles is calculated.

To get actual speed one time calibration in terms of pixel to physical distance mapping can be done.

#Note As we move from the bottom to top in image, pixel to distance relation changes exponentially. Equation need to be derived to get approximate speed.

#Some results:

format ID S-> speed

Sample 1

Sample 2

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A simple vehicle detection and trackig solution using yolov3 and DeepSORT.

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