25 January 2016 Robust multiple cue fusion-based high-speed and nonrigid object tracking algorithm for short track speed skating
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Abstract
This paper presents a methodology for tracking multiple skaters in short track speed skating competitions. Nonrigid skaters move at high speed with severe occlusions happening frequently among them. The camera is panned quickly in order to capture the skaters in a large and dynamic scene. To automatically track the skaters and precisely output their trajectories becomes a challenging task in object tracking. We employ the global rink information to compensate camera motion and obtain the global spatial information of skaters, utilize random forest to fuse multiple cues and predict the blob of each skater, and finally apply a silhouette- and edge-based template-matching and blob-evolving method to labelling pixels to a skater. The effectiveness and robustness of the proposed method are verified through thorough experiments.
© 2016 SPIE and IS&T
Chenguang Liu, Chenguang Liu, Heng-Da Cheng, Heng-Da Cheng, Yingtao Zhang, Yingtao Zhang, Yuxuan Wang, Yuxuan Wang, Min Xian, Min Xian, } "Robust multiple cue fusion-based high-speed and nonrigid object tracking algorithm for short track speed skating," Journal of Electronic Imaging 25(1), 013014 (25 January 2016). https://doi.org/10.1117/1.JEI.25.1.013014 . Submission:
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