Gait recognition using temporal gradient patterns

Abstract

In this paper, a Temporal Gradient Patterns (TGP) method is proposed for gait recognition. The method first computes the gradients of the silhouette in each image. Subsequently, the gradient of each pixel determines the bin number to which the pixel belongs to. The bin number of current and next frame jointly cast a vote to the corresponding index in the matrix of oriented gradients. The obtained matrix henceforth encodes the gradient pattern of each pixel in the gait cycle. The TGP method not only describes the spatial silhouette shapes but also implicitly captures the silhouette deformation in temporal axis. Experimental results show that the proposed approach attains a promising recognition rates.