Multi Camera Tracker (MCTracker)

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.

Requirements

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

How to build

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

How it works

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)

LICENSE

MIT