Volume 2 Number 2 (Apr. 2010)
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IJCEE 2010 Vol.2 (2): 381-388 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2010.V2.165

Image and Formula Based Gait Recognition Methods

D. Sharmila and E. Kirubakaran

Abstract—The term gait recognition is typically used to signify the identification of people in image sequences by the way they walk. Human gait is a valuable biometric cue that can be used for human identification besides other biometrics such as faces & fingerprints. Gait is determined by the physical characteristics of each individual, and so is believed to be as unique to the person as a fingerprint is. Gait is relatively new and emergent behavioral biometric, that pertains to the use of an individuals walking style to determine or validate identity. Human identification using gait is a challenging computer vision task. Gait is also one of the few biometrics that can be measured at a distance, which makes it useful in surveillance applications as well. In this paper, our objective is to develop robust methods for extracting discriminate gait features automatically and passively from low-resolution video. For this, we explore two gait recognition techniques. They are Image based gait recognition and Formula based gait recognition. Both methods characterize and recognize gait by computing correspondence-free motion features from the video sequence.

Cite: D. Sharmila and E. Kirubakaran, "Image and Formula Based Gait Recognition Methods," International Journal of Computer and Electrical Engineering vol. 2, no. 2, pp. 381-388, 2010.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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