关键词: 生物特征识别, 步态识别, 质心, 轮廓关键点, 动态时间规整（DTW）

Abstract: This paper proposes a method for gait representation based on body’s centroid and outline’s key points. Firstly a three-frame difference method is given to detect moving targets. Then the body centroid, the edge points of feet and head are found, extracting four parameters of each frame：the height of centroid, the distance between body centroid and the edge point of head, the distance between body centroid and the edge point of left foot, the distance between body centroid and the edge point of right foot. It selects a cycle of gait sequence, using automatic warping algorithm Dynamic Time Warping（DTW） for recognition. In terms of computational cost, less dimension parameters reduce the complexity of the algorithm. Unlike BP, HMM trains the model parameters first, this algorithm of gait recognition uses template matching directly, guarantees the real-time performance of gait recognition. Experimental results show that the algorithm not only wins encouraging recognition performance, but also proves robust for objects’ clothes to a certain extent.

Key words: biometrics feature recognition, gait recognition, body centroid, key point of silhouette, Dynamic Time Warping（DTW）