集成HOG步态模板

Gait template plays a crucial role in improving real-time performance of gait recognition. However, its performance suffers from lacking of time-series information and insufficient extraction of statistical features in images. In this paper, we use Gait Energy Image (GEI) and the Chrono-Gait Image (CGI) for the representation of gait features, followed by extracting their respective spatial features and further extract spatial feature. Based on these features, we propose an integrated HOG gait template. This template can preserve time-series information well and effectively represent spatial features in gait sequences. Experiments in USF benchmark gait database show that compared with other published algorithms, the proposed template achieves better performance in gait recognition.