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http://dx.doi.org/10.5762/KAIS.2011.12.5.2339

Gait Recognition Using Shape Sequence Descriptor  

Jeong, Seung-Do (Department of Information and Communication Engineering, Hanyang Cyber University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.12, no.5, 2011 , pp. 2339-2345 More about this Journal
Abstract
Gait recognition is the method to identify the person who walks in front of camera using characteristics of individuals by a sequence of images of walking people. The accuracy of biometric such as fingerprint or iris is very high; however, to provide information needs downsides which allow users to direct contact or close-up, etc. There have been many studies in gait recognition because it could capture images and analysis characteristics far from a person. In order to recognize the gait of person needs a continuous sequence of walking which can be distinguished from the individuals should be extracted features rather than an single image. Therefore, this paper proposes a method of gait recognition that the motion of objects in sequence is described the characteristics of a shape sequence descriptor, and through a variety of experiments can show possibility as a recognition technique.
Keywords
Gait Recognition; Shape Sequence Descriptor; Biometrics; ART;
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  • Reference
1 M. S. Choi, "An Efficient Representation and Matching of a Moving Object in Silhouette," Ph.D. Thesis, Hanyang University, Aug. 2004.
2 M. Bober, "Mpeg-7 Visual Shape Descriptors," IEEE Trans. Circuits Syst. Video Technol. Vol. 1(6), 2001.   DOI
3 L. Lee, W. E. L. Grimson, "Gait Appearance for Recognition," ECCV Workshop, Biometric Authentication, pp. 143-154, June 2002.
4 R. Gross, J. Shi, "The CMU Motion of Body(MoBo) Database," Tech. report CMU-RI-TR-01-08, Robotics Institute, CMU, June, 2001.
5 C. BenAbdelkader, R. Cutler, and L. Davis, "Motion-Based Recognition of People in Eigengait Space." Proc. Int'l. Conf. Automatic Face and Gesture Recognition, pp. 267-272, 2002.
6 C. BenAbdelkader, R. Culter, "View-invariant Estimation of Height and Stride for Gait Recognition," Proc. ECCV 2002 Workshop on Biometric Authentication, pp. 155-167, 2002.
7 S. Lee, Y. Choi, W. Lim, T. Kwon, and H. Kim, "Shape-sequence-based Key Image Generation Algorithm for Browsing and Retrieval of Video Clip," IEE Electronics Letter, Vol. 38, no. 12, pp. 549-550, 2002.   DOI