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Player Identification Based on Jersey Number Recognition In Sports Video
Zhang Nannan,Zhang Honggang *,Li Siyuan,Guo Jie
Beijing University of Posts and Telecommunications, Beijing, 100876
*Correspondence author
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Funding: National Natural Science Foundation of China under Grant (No.No.61273217, 61175011 and 61171193), the 111 project under Grant (No.No.B08004)
Opened online:16 September 2014
Accepted by: none
Citation: Zhang Nannan,Zhang Honggang,Li Siyuan.Player Identification Based on Jersey Number Recognition In Sports Video[OL]. [16 September 2014] http://en.paper.edu.cn/en_releasepaper/content/4606751
 
 
Detecting the identity of the players would be highly valuable for sports video content analysis. Since a player's jersey number is unique during a game, it is feasible to recognize the jersey number for identification in sports videos. Jersey number is considered as scene text which is difficult to localize and recognize. To solve this problem, we present a method for jersey region localization using a mixed color model as the rough detector and a SVM classifier as the refined detector. Once the jersey region is determined, a jersey number recognition algorithm with a KNN classifier is applied to extract and recognize the number. In addition, we develop an interactive system, which users can interact with to improve the recognition rate. Experimental results are presented on various kinds of sports videos, such as football and basketball videos, and the detection rate is over 85% and recognition rate is over 80% even under the condition of complicated background.
Keywords:Pattern Recognition and Intelligient System; Jersey Number Recognition; Jersey Color Model; Player Identification
 
 
 

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