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Gait recognition method based on two-dimension wavelet packet decomposition and complete PCA (Principal Component Analysis)

A technology of wavelet packet decomposition and principal component analysis, which is applied in the field of pattern recognition, can solve the problems of unsimplified feature extraction, large amount of calculation, and low recognition accuracy, and achieve the effects of improving accuracy, good robustness, and reducing calculation consumption

Inactive Publication Date: 2011-10-19
BEIJING UNIV OF TECH
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Problems solved by technology

However, these methods have problems such as large amount of calculation and low recognition accuracy due to unsimplified feature extraction.

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  • Gait recognition method based on two-dimension wavelet packet decomposition and complete PCA (Principal Component Analysis)
  • Gait recognition method based on two-dimension wavelet packet decomposition and complete PCA (Principal Component Analysis)
  • Gait recognition method based on two-dimension wavelet packet decomposition and complete PCA (Principal Component Analysis)

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Embodiment Construction

[0038] figure 1 Proposed for the present invention based on WPD+(2D) 2 Flow chart of PCA's gait recognition algorithm. The whole process includes a training module and a recognition module. The training module is used for training and modeling known and classified gait samples, and generates a classifier that can classify and recognize unknown gait samples. The recognition module is for preprocessing and feature extraction of unknown gait samples, and input the samples to be recognized after feature extraction into the trained classifier to judge the category they belong to and evaluate the recognition effect.

[0039] Provide the explanation of each detailed problem involved in the technical scheme of this invention below in detail:

[0040] Step 1, the preprocessing process is as follows:

[0041] The database we use is a gait database of the Institute of Automation, Chinese Academy of Sciences. This database has separated the background. The work to be done in the presen...

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Abstract

The invention discloses a gait recognition method, particularly the gait recognition method based on two-dimension wavelet packet decomposition and complete PCA (Principal Component Analysis), which belongs to the technical field of pattern recognition. The method comprises the following steps of: pretreatment (morphologic treatment, target extraction and image normalization), feature extraction (gait cycle, gait energy image and fusion of WPD plus (2D) 2 PCA selection feature) and classification of the test samples to a corresponding class according to the nearest neighbor classification principle. the method integrates periodic frames in one mean chart by utilizing the gait energy diagram so as to eliminate the influence of difference of periodic frame numbers on the feature extraction, thereby reducing the computational complexity; and besides, the method extracts and selects gait features by initially adopting the method of fusing WPD with (2D) 2 PCA so as to solve the problems of loosing of high-frequency components or excessive dimensionality due to the simple adoption of all data of the existing gait recognition method based on wavelet transformation, and has higher recognition rate as well as higher robustness of vision angle change.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and in particular relates to a gait recognition method based on two-level wavelet packet decomposition and complete principal component analysis. The method of automatic analysis and discrimination is an algorithm for gait feature extraction and recognition in the field of biometric identification. Background technique [0002] Biometric identification technology refers to the technology that uses the physiological characteristics or behavioral characteristics that human beings possess to identify their identity for identity verification. Compared with traditional identity verification technology, biometric technology fundamentally eliminates forgery and theft, has higher reliability and security, and has been more and more widely used in identity authentication of some security systems. [0003] Gait recognition technology, as a new type of biometric recognition technology, is a bio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/66
Inventor 杨新武杨跃伟
Owner BEIJING UNIV OF TECH
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