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Alternative TitleSynchronization Analysis for Synchronized Diving Videos
Thesis Advisor周志鑫 ; 卢汉清
Degree Grantor中国科学院研究生院
Place of Conferral中国科学院自动化研究所
Degree Discipline计算机应用技术
Keyword双人跳水 同步性分析 同步性特征表示 同步性排序 Synchronized Diving Synchronization Analysis Synchronized Feature Representation Synchronization Ranking
Abstract在一些技巧性的体育比赛中,裁判的评定往往具有很强的主观性,从而给体育比赛带来了很多不公平性。利用计算机自动对比赛评定或者辅助裁判员评定将有效地减少比赛中的不公平性。双人跳水比赛是一种技巧性很强的比赛,而且整个动作要在瞬间完成,这就给裁判评定带来了很大的困难。本文利用计算机视觉方法对双人跳水进行自动评定研究,并提出了一个同步性分析的评价框架。这个框架主要包括3部分:(1)运动目标提取;(2)同步性特征的提取和表示;(3)同步性排序。本文首次把信息检索中常用的排序思想引入到双人跳水的比赛评定问题中,从而把绝对分值问题转化成相对排序问题,最终得出它们之间的相对顺序。 本文的主要工作和贡献有: (1) 设计和实现了双人跳水视频中基于动态背景建模的运动员目标提取方法。采用了一种充分考虑到摄像机全局运动的运动检测方法,能够比较准确地从跳水视频中提取出人体运动目标。 (2) 根据双人跳水比赛同步性评价规则,提出了一种有效的双人跳水同步性特征的提取与表示方法。所提出的同步性特征将视觉底层特征和高层语义的同步性联系起来,能够很好地表示双人跳水中的同步性。 (3) 根据双人跳水比赛中同步性评价的特点,采用偏好性学习规则,提出了一种双人跳水同步性排序方法。这种同步性排序学习方法避免了直接使用双人跳水的同步性绝对分数来对同步性进行评价,从而减小了不同比赛场次和不同裁判判罚尺度对比赛结果的影响。
Other AbstractThe judgment of sport games is a subjective task, especially for some skillful competitions. The subjectivity brings many unfair judgements to the competition. It can be used to effectively decrease the unfair judgements by using computer to judge the competition automatically or assist the referee to judge. Synchronized diving is a very skillful competition and the whole action has to be completed in an instant, which makes the judgement very difficult. In this thesis, a framework is developed to analyze and evaluate the synchronization in synchronized diving. The framework is composed of three steps: (1) Moving object extraction based on dynamic background construction; (2) Feature representation and extraction for synchronization; (3) Synchronization ranking. To the best of our knowledge, it is the first time that the idea of ranking which is a common method in information retrieval is introduced into the synchronization evaluation problem. The absolute scoring problem is converted into the relative ranking problem, and finally the problem is solved. The main contributions of this thesis include the following issues: (1) The athlete extraction is designed and implemented based on dynamic background construction in synchronized diving video. We use a motion detection method with consideration of the global motion estimation, to exactly extract athlete from the video. (2) An efficient method is presented for synchronized feature representation and extraction according to the synchronization judge rules. The extracted features can describe the synchronization very well by bridging the low-level visual features and the high-level judgement rules. (3) A synchronization ranking method for synchronized diving is proposed based on synchronization judgement characteristic by using preference learning approach. The ranking method avoids the usage of the absolute numeric synchronization scores, which reduces the difference existing in the different situations and the different referees.
Other Identifier200528014628063
Document Type学位论文
Recommended Citation
GB/T 7714
丁昊阳. 双人跳水视频中的同步性分析[D]. 中国科学院自动化研究所. 中国科学院研究生院,2008.
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