Dynamic Texture Based Gait Recognition

Abstract. We present a novel approach for human gait recognition that inherently combines appearance and motion. Dynamic texture descriptors, Local Binary Patterns from Three Orthogonal Planes (LBP-TOP), are used to describe human gait in a spatiotemporal way. We also propose a new coding of multiresolution uniform Local Binary Patterns and use it in the construction of spatiotemporal LBP histograms. We show the suitability of the representation for gait recognition and test our method on a popular CMU MoBo dataset. We then compare our result to the state of the art methods.

• Type: Journal
• Year: 2009
• Where: ICB
• Authors: Vili Kellokumpu, Guoying Zhao, Stan Z. Li, Matti Pietikäinen
• Keywords: Biometrics, Gait Recognition, Human Gait, ICB 2009, Local Binary Patterns