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Journal of Electronic Imaging

Robust multiple cue fusion-based high-speed and nonrigid object tracking algorithm for short track speed skating
Author(s): Chenguang Liu; Heng-Da Cheng; Yingtao Zhang; Yuxuan Wang; Min Xian
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Paper 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.

Paper Details

Date Published: 25 January 2016
PDF: 16 pages
J. Electron. Imaging. 25(1) 013014 doi: 10.1117/1.JEI.25.1.013014
Published in: Journal of Electronic Imaging Volume 25, Issue 1
Show Author Affiliations
Chenguang Liu, Utah State Univ. (United States)
Heng-Da Cheng, Utah State Univ. (United States)
Yingtao Zhang, Harbin Institute of Technology (China)
Yuxuan Wang, Utah State Univ. (United States)
Min Xian, Utah State Univ. (United States)


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