吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (01): 156-160.

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Gait recognition based on Trace transform

BEN Xian-ye1, XU Sen2, WANG Ke-jun3   

  1. 1. School of Information Science and Engineering, Shandong University, Ji'nan 250100, China;
    2. School of Information Engineering, Yancheng Institute of Technology, Yancheng 224000, China;
    3. College of Automation, Harbin Engineering University, Harbin 150001, China
  • Received:2010-09-19 Online:2012-01-01 Published:2012-01-01

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Abstract:

A novel gait period detection algorithm based on Hu moments was proposed. With the scaling and shift invariance attributes, this method can potentially be used preceding the standardized and centralized image processing. Therefore, the pre-processing time in gait recognition is reduced significantly, which results in the possibility of real-time gait recognition. After analysis of the ability of the projection features of the gait to distinguish identity, it was elicited that it is reasonable of using Trace transform to describe the characteristics of the gait. Following that, gait recognition based on Trace transform was proposed. Three different kinds of functional forms in Trace transform were discussed in detail and experiments were conducted on CASIA-B gait database for validation. The best recognition rate achieved was 84.14%. This method avoids the complicated rectification process of the dynamic time warping algorithm and linear time normalization algorithm.

Key words: computer application, gait recognition, Hu moments, Radon transform, Trace transform

CLC Number: 

  • TP391.41


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