MCTracker is a multi camera tracker based on homography and costs. The costs are computed according to the Mahalanobis distance. Then, a Linear Assignment approach together with a Munkres algorithm have been used for assigning the current detections to the previous tracks.

• C++14
• OpenCV
• Darknet (https://github.com/AlexeyAB/darknet)
• Boost
• CUDA (not mandatory)
• Yaml-cpp

1. Clone darknet repository into the main folder (mctracker).
2. Modify the Makefile in order to use GPU (if any), to use OPENCV, and to build the library:
   • GPU=1, LIBSO=1 and OPENCV=1
3. If necessary, modify the cuda path as well as the architecture (inside the makefile)
4. Inside the darknet folder, go into the forlder include and edit the file yolo_v2_class.hpp
   • Comment Lines 107 and 179 (#ifdef OPENCV and #endif)
5. Compile it with: make
6. Download the COCO weights:
   • https://pjreddie.com/media/files/yolov3.weights
   • Move the downloaded file into the folder weights
7. In the main folder mctracker, create a folder build
8. navigate into the folder build and compile it with the following commands: cmake .. && make

1. To launch the application: ./multi_camera_tracker ../configs/config.yaml
2. To create a new homography file: ./homography_app /path/to/the/source/image /path/to/the/destination/image /path/to/yaml/file (where you save the homography)

MIT