一种鲁棒的场地球类视频中的球门探测方法  

A robust goalmouth detection method in field-ball game video

作　　者：卜江[1] 郑彬[1] 廖东升[1] 

机构地区：[1]国防科技大学人文与社会科学学院,湖南长沙410074

出　　处：《国防科技大学学报》2013年第5期85-90,共6页Journal of National University of Defense Technology

基　　金：国防科技大学校预研项目(JZ12-08-08);国家部委资助项目;国家自然科学基金资助项目

摘　　要：在场地球类视频中,球门常常会伴随着精彩片段而出现。因此,球门探测是体育视频摘要的基础,同时也是视频高层语义概念探测的研究热点。目前,利用机器学习方法进行视频中的对象探测是非常有前途的研究领域。基于此,提出一种基于模糊决策树的球门探测算法,用来探测场地球类视频中球门帧的出现,为了提高分类准确性,在模糊决策树训练的过程中加入了平衡处理。实验结果表明,与基于阈值和决策树的算法相比,该算法可以得到更好的分类结果(F-measure>95%),并且可以从所建立的树中推导出模糊规则来解释分类模型。Recently,goalmouth detection has become the basis of highlight summarization and a hot topic in high-level semantic concept detection,as the appearance of goalmouth indicates a high likelihood of exciting action in field-ball game video.In addition,machine learning for object detection is a promising research frontier.A robust method is proposed to detect the presence of goalmouth frame in field-ball game video based on fuzzy decision trees.Balance process was added in training procedure.The experimental results show that our algorithm （F-measure 〉95%） can improve the classification performance in comparison 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：球门探测 模糊决策树 场地球类视频 平衡处理 

分 类 号：TP37[自动化与计算机技术—计算机系统结构]