LAUSR

Abstract Sport video analysis is gaining popularity recently owing to its importance in understanding sports and improving the performance of athletes. In this paper we focus on shuttlecock tracking algorithm. Particularly, a novel fast tracking based on object center (i.e., FTOC) method by fusing heterogeneous cues and AdaBoost algorithm are proposed to improve the tracking performance for a robot. Experimental results show that the proposed FTOC tracking method performs favorably against many other popular tracking approaches, such as TLD, MIL, KCF, DCF_CA, SMAF_CA, KCC, DSN, COKCF, etc., in term of speed, accuracy, and robustness, especially in challenging scenarios such as scale variations and background clutter. We further demonstrate the feasibility of the FTOC algorithm in a real-time ZED binocular camera based 3D shuttlecock tracking system for a robot.