Title :
Multiplayer tracking system for short track speed skating
Author :
Yuxuan Wang ; Cheng, H.D. ; Juan Shan
Author_Institution :
Dept. of Comput. Sci., Utah State Univ., Logan, UT, USA
Abstract :
In this study, the authors propose a novel and effective short track speed skating tracking system. Aimed at several challenging tracking problems of short track skating: long-time occlusion and complex group situations, size variations, similar or identical uniforms, fast motion speed, quick orientation changes etc.; a novel fuzzy model is proposed to initialise contours of skaters even they wear the same kind of uniform. Then, a novel approach for multiple object tracking is developed to track skaters reliably. The experimental results demonstrate that the proposed system can solve the above challenging problems very effectively. The information provided by the proposed system, including trajectories, velocity analysis and two-dimensional reconstruction animations, is valuable to broadcasters, athletes and coaches alike. The proposed tracking algorithm can obtain better results than that by the other eight state-of-the-art trackers in short track speed skating tracking.
Keywords :
computer animation; fuzzy set theory; image motion analysis; image reconstruction; object tracking; sport; 2D reconstruction animations; complex group situations; fast motion speed; fuzzy model; identical uniforms; long-time occlusion; multiplayer tracking system; multiple object tracking; quick orientation changes; short track speed skating tracking system; similar uniforms; size variations; skater contour initialisation; trajectories; velocity analysis;
Journal_Title :
Computer Vision, IET
DOI :
10.1049/iet-cvi.2014.0001