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AI Pedestrian Counter

Project "Mechanische Integration WS 2021/22". Counting Pedestrians using computer vision on a Nvidia Jetson Nano 4GB.

For the course "Mechanische Integration WS 21/22" held by Prof. Dr. Leibl and Prof. Dr. Steinkogler in cooperation with the "Stadt München Referat Mobilität" our group developed a pedestrian counting system using computer vision.

Features include:

  • Webserver for setup and control
  • Support for different Tracking Algorithms (cv2.CSRT, cv2.KCF, dlib correlation Tracker)
  • MobileNetSSD using Caffe Framework
  • Centroid Tracking ID algorithm
  • Ouput of CSV files with number and direction of detected Pedestrians
  • GPU acceleration on supported Hardware
  • Optimized performance by threading of workload
output_gud.video-converter.com.mp4

image

Code by: Luis Rebhan and Jakub Zelonka

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