步态识别作为一种较新的生物认证技术有其独特优势,在计算机视觉研究领域又是一个难题.本文首先分析了步态识别问题的这两个特点.其次,按一个模式识别系统所涉及的4个问题域：传感器的选择、预处理技术、表达方法、决策模型为索引去分析步态识别问题.在表达方法一节中将文献中所反映的研究方法从计算机视觉的角度分为基于模型和基于整体的两大类,并对每类方法进行了举例说明,指出了所举出的方法的优缺点和其提取步态模式中的结构成分信息和运动特征信息时所采用的方法.再次,对步态识别算法性能评价标准和可得到的数据库进行了分析说明.最后得出了目前步态识别问题研究中的几个薄弱点,指出进一步研究此问题的发展空间.

As a new technology of biometrics,gait recognition has its predominance among other biometric technologies while in computer vision research field it is a hard problem.Those two characteristics are analyzed at first.Then, the gait recognition problem is expounded in four aspects which are essentially involved in designing a pattern recognition system: the choice of sensors,preprocessing technique,data representation scheme,and decision making model.The emphases are in the section concerning gait data representation,in which approaches to the gait recognition problem from the point of view of computer vision are broadly classified as being either model-based or holistic.Every class is illustrated in detail,and the merits and defects of each example are pointed out.The information of structure component and the information of the motion dynamics of the body extracted in those approaches are also explained.Thirdly,the performance evaluation standard and available database are discussed.At last,a few weaknesses in the gait recognition research field are proposed,and future areas of research are also put forward.