Segmentation in Soccer Video Based on Fusion Algorithm

Abstract

Abstract. According to the practical application of soccer video, the characteristics of the data structure and the shot conversion methods of soccer videos are described. A method of shot segmentation in soccer video based on fusion algorithm is proposed. In this method, the χ 2 histogram match based on gray histogram, sliding window algorithm with adaptive threshold and double sliding windows algorithm are combined to detect and segment the shot boundary. Experiment results show that the average recall rate of cut shot is 96.6 % and the average precision rate is 94.9%; The average recall rate of gradual shot is 79.5% and the average precision rate is 81.4%

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oai:CiteSeerX.psu:10.1.1.913.8708Last time updated on 11/1/2017

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