In the paper, we describe the technical details of a multi-player sports tracker system. We demonstrate that proper in-depth analysis of video frames sequence may provide a lot of useful information required for sports analytics. Object detection and tracking steps are analyzed. Novel ideas for efficient filtering of false detections and irrelevant tracks are proposed. Also, we show an example of how the object tracking information used for the regions of interest location allows streaming sports events without human operators. At last, important practical implementation details, as well as initial experimental results, are discussed.
Light-Weight Tracker for Sports Applications