The system for soccer video analytics
The system of soccer video analytics is based on the analysis of video recordings of games and training sessions. The solution will be based on the existing image analysis library based on NVIDIA GPU of its own design and the Fastvideo library for image rescaling and RAW>>RGB conversion.
The use of calculators attached to the cameras will provide the ability to convert RAW>>RGB and generate a stream of JPEG images. This will ensure the organization of fast replay (this task is not solved by standard H264 codecs) and the prompt selection of ROI for broadcast. In this case, the search for players and the ball will be performed on a reduced resolution image, which will provide the required performance.
1. Monte-Carlo based 2D object tracking approach in high load scenes Gilya-Zetinov, A.A.,Tsybulko, E., Bugaev, A., Zaitseva, A.S., Pashkov, R. // Proceedings, International Conference on Electrical, Control and Instrumentation Engineering, ICECIE, 2022-November
2. High-Speed Multi-person Tracking Method Using Bipartite Matching Gilya-Zetinov, A., Bugaev, A., Khelvas, A., Konyagin, E., Segre, J. //Lecture Notes in Networks and Systemsthis, 2022, 283, pp. 793–809