真实监控环境下，行人前视步态比侧视步态更常见 . 现有步态识别方法主要针对侧视步态而非前视步态 . 为此，文中根据行人步态统计特征，提出了一种基于自动视角转换的前视步态识别方法 . 该方法通过计算行人步态能量图、行走迹线和步态视角，提取经视角转换后同一视角下的步态特征并进行比对识别 . 实验结果表明，在真实监控环境且单目监控摄像机参数未知的情况下，该方法对前视步态的正确识别率达 81% ，每秒可识别 21 帧，具有良好的识别效果 .

In real monitoring circumstances ， pedestrians ’ front-view gaits are more common than lateral-view ones. As the existing gait recognition methods are mainly focused on lateral-view gaits instead of front-view gaits ，a new front-view gait recognition method on the basis of automatic perspective conversion is proposed according
to the statistics of pedestrians ’ gait features. Through calculating pedestrians ’ gait energy images ， walking
trajectories and gait view angles ， this method extracts and recognizes gait features under the same view angle
after the transformation of view angles. Experimental results show that the proposed method works well under
real monitoring circumstances when the parameters of monocular camera are unknown ， and that it achieves a
recognition rate for front-view gait of 81% and an identified frame number of 21 per second.