L. Wang, H. Z. Ning, T. N. Tan and W. M. Hu, “Fusion of Static and Dynamic Body Biometrics for Gait Recognition,” Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 03), Nice, 13-16 October 2003, pp. 1449-1454. doi:10.1109/ICCV.2003.1238660

has been cited by the following article:

• TITLE: Determinants in Human Gait Recognition

  AUTHORS: Tahir Amin, Dimitrios Hatzinakos

  KEYWORDS: Biometrics; Feature Comparison; Feature Extraction; Gait Recognition

  JOURNAL NAME: Journal of Information Security, Vol.3 No.2, April 26, 2012

  ABSTRACT: Human gait is a complex phenomenon involving the motion of various parts of the body simultaneously in a 3 dimensional space. Dynamics of different parts of the body translate its center of gravity from one point to another in the most efficient way. Body dynamics as well as static parameters of different body parts contribute to gait recognition. Studies have been performed to assess the discriminatory power of static and dynamic features. The current research literature, however, lacks the work on the comparative significance of dynamic features from different parts of the body. This paper sheds some light on the recognition performance of dynamic features extracted from different parts of human body in an appearance based set up.