Automatic Detection of Highlights in Soccer videos based on analysis of scene structure 


Vol. 14,  No. 1, pp. 1-4, Feb.  2007
10.3745/KIPSTB.2007.14.1.1


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  Abstract

In this paper, we propose an efficient scheme for automatically detecting highlight scenes in soccer videos. Highlights are defined as shooting scenes and goal scenes. Through the analysis of soccer videos, we notice that most of highlight scenes are shown around the goal post area. It is also noticed that the TV camera zooms in a soccer player or spectators after the highlight scenes. Detection of highlight scenes for soccer videos consists of three steps. The first step is the extraction of the playing field using a statistical threshold. The second step is the detection of goal posts. In the final step, we detect a zooming of a soccer player or spectators by using connected component labeling of non-playing field. In order to evaluate the performance of our method, the precision and the recall are computed.Experimental results have shown the effectiveness of the proposed method, with 95.2% precision and 85.4% recall.

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  Cite this article

[IEEE Style]

K. T. Park and Y. S. Moon, "Automatic Detection of Highlights in Soccer videos based on analysis of scene structure," The KIPS Transactions:PartB , vol. 14, no. 1, pp. 1-4, 2007. DOI: 10.3745/KIPSTB.2007.14.1.1.

[ACM Style]

Ki Tae Park and Young Shik Moon. 2007. Automatic Detection of Highlights in Soccer videos based on analysis of scene structure. The KIPS Transactions:PartB , 14, 1, (2007), 1-4. DOI: 10.3745/KIPSTB.2007.14.1.1.

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