Abstract: A novel temporal templates representation method for gait analysis and recognition applications is introduced. The method includes following steps: first, silhouette extraction is performed to the images of the video sequence; secondly, the gait cycle including two steps is detected by analysizing the contour points distribution of silhouette sequence; thirdly, by cumulating interframes forwards sihouette differences, two single step history images (SSHI) are obtained to represent how and where human walking is evolved. The SSHI image is then segmented by a family of rectangles, from which a set of local moment invariant vectors are abstracted to be the feature vectors of the SSHIs. These feature vectors are finally used to achieve gait recognition. Recognition capability is illustrated by an 85. 57％ CCR on Soton database and the results show that the method outperforms the existing methods.

Key words: gait recognition, behavioral biometrics, temporal templates, history images, moment invariants