Performance evaluation metrics and statistics for positional tracker evaluation

被引:0
作者
Needham, CJ [1 ]
Boyle, RD [1 ]
机构
[1] Univ Leeds, Sch Comp, Leeds LS2 9JT, W Yorkshire, England
来源
COMPUTER VISION SYSTEMS, PROCEEDINGS | 2003年 / 2626卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper discusses methods behind tracker evaluation, the aim being to evaluate how well a tracker is able to determine the position of a target object. Few metrics exist for positional tracker evaluation; here the fundamental issues of trajectory comparison are addressed, and metrics are presented which allow the key features to be described. Often little evaluation on how precisely a target is tracked is presented in the literature, with results detailing for what percentage of the time the target was tracked. This issue is now emerging as a key aspect of tracker performance evaluation. The metrics developed are applied to real trajectories for positional tracker evaluation. Data obtained from a sports player tracker on video of a 5-a-side soccer game, and from a vehicle tracker, is analysed. These give quantitative positional evaluation of the performance of computer vision tracking systems, and provides a framework for comparison of different methods and systems on benchmark data sets.
引用
收藏
页码:278 / 289
页数:12
相关论文
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