Gait recognition based on anatomical knowledge

Author

Guo, Yangming ; Tian, Guangjian

Author_Institution

Coll. of Comput., Northwestern Polytech. Univ., Xi´´an

fYear

2008

fDate

25-27 June 2008

Firstpage

6803

Lastpage

6806

Abstract

Gait recognition refers to automatic identification of an individual based on the style of walking; itpsilas a new biometrics recognition technology. This paper attempts to describe gait signature based on anatomical knowledge, to make quasi-periodic analysis on height and width ratio of gait image, and to solve the problems resulting from image sequence of different gait cycle by HMM. By utilizing the algorithm in the paper, the experiments made on CMU database have achieved comparatively high correction identification ratio.

Keywords

biometrics (access control); gait analysis; hidden Markov models; image sequences; CMU database; HMM; anatomical knowledge; automatic individual identification; biometrics recognition technology; correction identification ratio; gait image; gait recognition; gait signature; image sequence; quasiperiodic analysis; Biometrics; Databases; Feature extraction; Fingerprint recognition; Hidden Markov models; Humans; Image sequences; Iris; Legged locomotion; Video sequences; anatomical knowledge; biometrics; feature extraction; gait recognition; hidden Markov model;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4593963

Filename

4593963