Football player detection in video broadcast
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
Detection of tennis court lines for sport video categorization
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
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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.