Multitarget-tracker

Hungarian algorithm + Kalman filter multitarget tracker implementation.

Demo Videos

Parameters

1. Background substraction: built-in Vibe, SuBSENSE and LOBSTER or MOG, GMG and CNT from opencv_contrib
2. Segmentation: contours.
3. Matching: Hungrian algorithm or algorithm based on weighted bipartite graphs.
4. Tracking: Linear or Unscented Kalman filter for objects center or for object coordinates and size.
5. Use or not local tracker (LK optical flow) for smooth trajectories.
6. KCF tracking for lost objects and collision resolving

Thirdparty libraries

• OpenCV (and contrib): https://github.com/opencv/opencv and https://github.com/opencv/opencv_contrib
• Vibe: https://github.com/BelBES/VIBE
• SuBSENSE and LOBSTER: https://github.com/ethereon/subsense
• GTL: https://github.com/rdmpage/graph-template-library
• MWBM: https://github.com/rdmpage/maximum-weighted-bipartite-matching
• Pedestrians detector: https://github.com/sturkmen72/C4-Real-time-pedestrian-detection
• Non Maximum Suppression: https://github.com/Nuzhny007/Non-Maximum-Suppression

License

GNU GPLv3: http://www.gnu.org/licenses/gpl-3.0.txt