Goalmouth Detection in Field-Ball Game Video Using Fuzzy Decision Tree

摘要：

On one hand, goalmouth detection is a kind of highlevel semantic concept detection methods in sports video, on the other hand, data mining for video processing that can benefit video analysis is a promising research frontier. In this paper, a robust method is proposed to detect the presence of goalmouth in field-ball game video based on fuzzy decision trees. Balance process is added in training procedure. The experiment result shows that our algorithm can improve the classification when comparing with the threshold based algorithm and the decision tree based algorithm. Fuzzy rules can also be easily deduced from the constructed tree to interpret the classification model.

关键词： Goalmouth detection Fuzzy decision tree Field-ball game video Balance process

作者: Jiang Bu Song-Yang Lao Liang Bai Sabrina Tollari Christophe Marsala

作者单位: School of Information System & Management National University of Defense Technology ChangSha, China, University Pierre et Marie Curie - Paris 6 UMR CNRS 7606 LIP6 F-75016, Paris, France

会议类型: 国际会议

会议名称: The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)

会议地点: 西安

会议语种:英文

页码: 917-921

在线出版日期: 2009-09-20（万方平台首次上网日期，不代表论文的发表时间）