Báo cáo hóa học: "Gait Recognition Using Image Self-Similarity Chiraz BenAbdelkader"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Gait Recognition Using Image Self-Similarity Chiraz BenAbdelkader | EURASIP Journal on Applied Signal Processing 2004 4 572-585 2004 Hindawi Publishing Corporation Gait Recognition Using Image Self-Similarity Chiraz BenAbdelkader Identix Corporation One Exchange Place Jersey City NJ 07302 USA Email chiraz@ Ross G. Cutler Microsoft Research One Microsoft Way Redmond WA 98052-6399 USA Email rcutler@ Larry S. Davis Department of Computer Science University of Maryland College Park MD 20742 USA Email lsd@ Received 30 October 2002 Revised 18 May 2003 Gait is one of the few biometrics that can be measured at a distance and is hence useful for passive surveillance as well as biometric applications. Gait recognition research is still at its infancy however and we have yet to solve the fundamental issue of finding gait features which at once have sufficient discrimination power and can be extracted robustly and accurately from low-resolution video. This paper describes a novel gait recognition technique based on the image self-similarity of a walking person. We contend that the similarity plot encodes a projection of gait dynamics. It is also correspondence-free robust to segmentation noise and works well with low-resolution video. The method is tested on multiple data sets of varying sizes and degrees of difficulty. Performance is best for fronto-parallel viewpoints whereby a recognition rate of 98 is achieved for a data set of 6 people and 70 for a data set of 54 people. Keywords and phrases gait recognition human identification at a distance human movement analysis behavioral biometrics pattern recognition. 1. INTRODUCTION . Motivation Gait is a relatively new and emergent behavioral biometric 1 2 that pertains to the use of an individual s walking style or the way he walks to determine identity. Gait recognition is the term typically used in the computer vision community to refer to the automatic extraction of visual cues that characterize the motion of a walking person in video and is used for .

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