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This human tracking algorithm is a Python implementation of the paper "GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs". The algorithm attempts to solve the optimization problem of human tracking data association which in our methods minimizes motion and appearance cost in order to generate a tracklet of a huma…

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GMCP-Tracker-Python-Implementation

This human tracking algorithm is a Python implementation of the paper "GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs". The algorithm attempts to solve the optimization problem of human tracking data association which in our methods minimizes motion and appearance cost in order to generate a tracklet of a human even if occlusion exists.

Visit tracker website: http://cs.stanford.edu/~gmcp/

How to use:

  1. Install necessary python imports
  2. Run gmcpalgorithm.py
  3. Edit www/index.html to match your IP address for HTTP post
  4. Open www/index.html in browser

Message utkarsh.tandon1@gmail.com if you have any questions.

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This human tracking algorithm is a Python implementation of the paper "GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs". The algorithm attempts to solve the optimization problem of human tracking data association which in our methods minimizes motion and appearance cost in order to generate a tracklet of a huma…

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