Depth-based gait feature representation

Abstract

This paper proposes a novel gait feature representation that well describes characteristics of a walking person from the perspective of a range sensor. Most existing methods for gait feature extraction use a sequence of his/her silhouette as their input, so that they inevitably suffer from the difficulty of silhouette extraction in real scenes and change of view direction, which prevent them from being applied in practice. The proposed method, on the other hand, does not require such accurate segmentation, and is not affected by view change since captured range data has three-dimensional information. In addition, our method can explicitly separate dynamic feature from a static one, e.g., body shape, which have never been realized. Experimental results of gait authentication show its effectiveness. © 2013 Information Processing Society of Japan.