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http://dx.doi.org/10.12673/jant.2017.21.1.119

Merge and Split of Players under MeanShift Tracking in Baseball Videos  

Choi, Hyeon-yeong (Department of Computer Engineering, Kumoh National Institute of Technology)
Hong, Sung-hwa (Department of Maritime Inform. & Comm. Eng., Mokpo National Maritime University)
Ko, Jae-pil (Department of Computer Engineering, Kumoh National Institute of Technology)
Publication Information
Journal of Advanced Navigation Technology / v.21, no.1, 2017 , pp. 119-125 More about this Journal
Abstract
In this paper, we propose a method that merges and splits players in the MeanShift tracking framework. The MeanShift tracking moves the center of tracking window to the maximum probability location given the target probability distribution. This tracking method has been widely used for real-time tracking problems because of its fast processing speed. However, it hardly handles occlusions in multiple object tracking systems. Occlusions can be usually solved by applying data association methods. In this paper, we propose a method that can be applied before data association methods. The proposed method automatically merges and splits the overlapped players by adjusting the each player's tracking map. We have compared the tracking performance of the MeanSfhit tracking algorithm and the proposed method.
Keywords
Merge and split; MeanShift; Multiple object tracking; Data association; Occlusion;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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