Individual recognition by gait in virtual space

Individual recognition is the technique which recognizes person´s identity through his gait. Gait energy image (GEI) is a classical gait representation and it can be decomposed into structural part and detailed part. Then virtual gait energy image (VGEI) can be constructed in virtual space by integrating those two different parts. The generalized principal component analysis (GPCA) is applied to VGEI to reduce the dimension. The classical Euclidean distance is used to measure the similarity of different gait features, and the nearest neighbor classifier is adopted to discriminate different patterns. The experiments on CASIA database testify the effectiveness of the proposed algorithm.