Gait recognition based on dynamic region analysis

• Published in: Signal processing Vol. 88; no. 9; pp. 2350 - 2356
• Main Authors: Yang, Xiaochao, Zhou, Yue, Zhang, Tianhao, Shu, Guang, Yang, Jie
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.09.2008; Elsevier Science
• Subjects: Applied sciences; Detection, estimation, filtering, equalization, prediction; Dynamic region analysis; Enhanced gait energy image; Exact sciences and technology; Gabor-based discriminative common vectors analysis; Gait recognition; Information, signal and communications theory; Miscellaneous; Signal and communications theory; Signal processing; Signal representation. Spectral analysis; Signal, noise; Telecommunications and information theory; Enhanced gait energy image; Dynamic region analysis; Gabor-based discriminative common vectors analysis; Gait recognition; Performance evaluation; Discriminant analysis; Gait recognition;Dynamic region analysis;Enhanced gait energy image;Gabor-based discriminative common;vectors analysis; Dynamic characteristic; Noise reduction; Database; Subspace method; Image representation; Signal processing; Identification; Signal representation; Gait analysis

Gait Energy Image (GEI) has been proved to be an effective identity signature in gait recognition. But previous approaches only treat this 2D image representation as a holistic feature and neglect the intrinsic dynamic characteristics of gait patterns. In this paper, we use variation analysis to obt...