Abstract: The quality of human silhouettes has a direct effect on gait recognition performance. This paper proposed a robust gait representation scheme to suppress the influence of silhouette incompleteness.By means of dividing human body area in a video sequence into several sulrarcas and representing each sulrarea by an ellipse whose parameters can be calculated from the corresponding motion information extracted from optical flow field, a new body structure model called multi-linked ellipse model was established. In the recognition stage, the parameters of model are finally used to achieve gait recognition based on dynamic time warping technology. Experimental results prove the higher performance of the method.

Key words: Gait recognition, Silhouettes, Optical flow, Ellipse model, DTW (dynamic time warping)