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Gait recognition has recently attracted increasing interest from the biometric society. In this paper, we present a gait recognition system based on the fusion of multiple gait cycles using a new gait representation. First, a gait sequence is automatically partitioned into multiple gait cycles by finding the local minima of width signal. After gait cycle partitioning, we extract a new gait feature...
Gait recognition systems have recently attracted much interest from biometric researchers. In this work, we present an alternative gait representation of width vector profile. The proposed model-free gait representation, width vector mean, is defined by the arithmetic mean of width vector profiles obtained from a gait sequence. Different gait feature are extracted from the width vector mean such the...
Gait recognition has recently attracted increasing interest from the biometric community. In this paper, we propose a simple new feature called multi-bipolarized contour mean (MBCM) for gait recognition. The proposed MBCM feature consists of four components: (1) the vertical positive contour mean, (2) the vertical negative contour mean, (3) the horizontal positive contour mean, and (4) the horizontal...
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