What image information is important in silhouette-based gait recognition?
What image information is important in silhouette-based gait recognition?
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DOI：
10.1109/cvpr.2004.271
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发表时间：
2004-06
期刊：
影响因子：
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通讯作者：
G. Veres;L. Gordon;J. Carter;M. Nixon
中科院分区：
文献类型：
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作者：
G. Veres;L. Gordon;J. Carter;M. Nixon
步态识别最近得到了极大的关注，特别是在视觉监视和监控应用中的基于视觉的远距离自动人体识别中。基于轮廓的步态识别是目前最流行的运动形状识别方法之一。本文旨在从统计分析的角度研究基于轮廓的步态识别中的重要特征。它示出的平均轮廓包括步态（头部和身体）的静态组件作为最重要的图像部分，而步态（腿和手臂的摆动）的动态组件被忽略作为最不重要的信息。同时，忽略步态的动态部分在某些情况下会导致识别率的损失，并且强调了更好的运动估计的重要性。
Gait recognition has recently gained significant attention, especially in vision-based automated human identification at a distance in visual surveillance and monitoring applications. Silhouette-based gait recognition is one of the most popular methods for recognising moving shapes. This paper aims to investigate the important features in silhouette-based gait recognition from point of view of statistical analysis. It is shown that the average silhouette includes a static component of gait (head and body) as the most important image part, while dynamic component of gait (swings of legs and arms) is ignored as the least important information. At the same time ignoring dynamic part of gait can result in loss in recognition rate in some cases, and the importance of better motion estimation is underlined.