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A TWO LAYERED DATA ASSOCIATION APPROACH FOR BALL TRACKING
文献类型:会议
作者:Zhou, Xiangzeng[1]  Huang, Qiang[2]  Xie, Lei[3]  Cox, Stephen[4]  
机构:[1]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing (SAIIP), School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China
[2]School of Computing Sciences, University of East Anglia, Norwich, NR4 7TJ, United Kingdom
[3]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing (SAIIP), School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China
[4]School of Computing Sciences, University of East Anglia, Norwich, NR4 7TJ, United Kingdom
年:2013
通讯作者:Zhou, XZ (reprint author), Northwestern Polytech Univ, Sch Comp Sci, Shaanxi Prov Key Lab Speech & Image Informat Proc, Xian 710072, Peoples R China.
会议名称:2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
页码范围:2317-2321
会议开始日期:2013-05-26
收录情况:EI(20135217120510)  CPCI-S(WOS:000329611502097)  
所属部门:计算机学院
人气指数:930
浏览次数:911
被引频次:1
语言:外文
关键词:data association; tennis; ball tracking; trajectory; layered
摘要:
Ball-tracking is a key technology in processing and analyzing a ball game. Because of the complexity of visual scenes, a large number of objects are usually selected as candidates for the ball, leading to incorrect identification, and conversely, the true position of the ball may sometimes be missed. In this paper, we propose a two layered data association method to improve the robustness of ball-tracking. At a local layer, we use a sliding window based Token Transfer method to generate a set of ...More
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