Human gait recognition using patch distribution feature and locality-constrained group sparse representation

• Main Authors: Xu, Dong, Huang, Yi, Zeng, Zinan, Xu, Xinxing
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• Online Access: https://hdl.handle.net/10356/98927; http://hdl.handle.net/10220/13523
• Institution: Nanyang Technological University

In this paper, we propose a new patch distribution feature (PDF) (i.e., referred to as Gabor-PDF) for human gait recognition. We represent each gait energy image (GEI) as a set of local augmented Gabor features, which concatenate the Gabor features extracted from different scales and different orien...