Ball and Field Line Detection for Placed Kick Refinement

Classifying video content into different semantic granularities is a possible way for flexible video indexing, browsing and retrieval. In this paper, a placed kick refinement algorithm is proposed after semantic based event detection or manually annotation. The placed kick event is further classified into following three types: free kick, corner kick and penalty according to the ball and field lines detection and their relationships determination. Firstly, we carry out ball detection in the global shot of the placed kick event. According to the ball detection results, we further determine whether to detect field lines using Hough transform. Finally, the ball and field lines detection results are integrated in decision making stage. Experimental results show the effectiveness of the proposed method.

[1]  Qi Tian,et al.  Trajectory-Based Ball Detection and Tracking in Broadcast Soccer Video , 2006, IEEE Transactions on Multimedia.

[2]  Yongduek Seo,et al.  Where Are the Ball and Players? Soccer Game Analysis with Color Based Tracking and Image Mosaick , 1997, ICIAP.

[3]  Tiziana D'Orazio,et al.  A ball detection algorithm for real soccer image sequences , 2002, Object recognition supported by user interaction for service robots.

[4]  Linmi Tao,et al.  Hidden Markov Model Based Events Detection in Soccer Video , 2004, ICIAR.

[5]  Chung-Lin Huang,et al.  Semantic analysis of soccer video using dynamic Bayesian network , 2006, IEEE Transactions on Multimedia.

[6]  Gu Xu,et al.  An HMM-based framework for video semantic analysis , 2005, IEEE Transactions on Circuits and Systems for Video Technology.

[7]  Cataldo Guaragnella,et al.  A new algorithm for ball recognition using circle Hough transform and neural classifier , 2004, Pattern Recognit..

[8]  Qi Tian,et al.  A novel ball detection framework for real soccer video , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

[9]  Baoxin Li,et al.  Automatic detection of replay segments in broadcast sports programs by detection of logos in scene transitions , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[10]  Alberto Del Bimbo,et al.  Semantic annotation of soccer videos: automatic highlights identification , 2003, Comput. Vis. Image Underst..

[11]  Qingshan Liu,et al.  An effective and fast soccer ball detection and tracking method , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[12]  Baoxin Li,et al.  Bridging the semantic gap in sports video retrieval and summarization , 2004, J. Vis. Commun. Image Represent..