A gait recognition method using HMM

New biometrics identification methods, including person identification using a walk characteristic (gait recognition) is attracting attention. In this paper, an identification method on gait recognition is proposed. In the proposed method, outlines of person are represented by P-style Fourier descriptions, and these time-serial walking characteristics use HMM. It is shown that the proposed method brings the high rate of identification and is effective in indoor environment with simulation results.