A model-based gait recognition method with body pose and human prior knowledge.

•We propose a novel model-based gait recognition method, PoseGait, which exploits human pose as feature. The method can achieve high recognition rate despite the low dimensional feature (only 14 body joints).•We design dedicated features based on 3D pose information. We demonstrate experimentally the advantage of these features.•CNN nor RNN/LSTM can successfully extract spatio-temporal gait feature with the help of fusing two losses.