This project implements object tracking algorithm described in http://vision.stanford.edu/teaching/cs231b_spring1415/papers/Kalal-PAMI.pdf. Source paper added to docs folder. C++ implementation uses OpenCV library for basic image processing operations and I/O.
Library and demo application have been tested under Ubuntu 18.04 and OpenCV 4.0.0
Clone repo and run building script (it runs cmake + make) in the repo root - build_tld.
After process will complete built shared library with TLD sources will appear in the build-tldlibrary directory and build demo application will appear in the build-tlddemoapp directory.
You will see help information if run demo application with option --help: ./tld_demo_app --help
Example of application launch with web-camera video stream:
./tld_demo_app --webcam --camid=DEVICE_ID
Example of application launch with video stream read from videofile:
./tld_demo_app --video --videopath=ABS_PATH_TO_VIDEO
After application will start press 't' key to designate target. Set designation bounding box by mouse and press space key to start tracking.