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Tracking Jockeys in a Cluttered Environment with Group Dynamics

This project aims to detect and track jockeys at the turning point of the horse races. The detection and tracking of the objects is a very challenging task in a crowded environment such as horse racing due to occlusion. However, in the horse race, the jockeys follow each other's paths and move as a slowly changing group. This group dynamic gives an important cue to approximate the location of obscured jockeys. This paper proposes a novel approach to handle occlusion by the integration of the group dynamic into jockeys tracking framework. The experimental result shows the effect of group dynamics on the tracking performance against partial and full occlusions.