抄録
In this paper, for human identification, the silhouette image is segmented into four components to evaluate the partial information about gait. A number of combinations of the components are considered to demonstrate the effectiveness of each component to human gait recognition. Besides, we use multiple distances for different templates and fuse them at a score level. The experiments on the well-known CASIA gait dataset A are carried out to demonstrate the validity of the proposed methods.
