Front gait recognition method based on feature fusion

A feature fusion and gait recognition technology, applied in the field of pattern recognition, can solve the problems of poor classification of PCA dimensionality reduction and low gait recognition rate of a single feature, to make up for the low gait recognition rate, reduce calculation consumption, and reduce data volume effect

Pending Publication Date: 2021-04-09
BEIJING UNIV OF TECH
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Problems solved by technology

[0006] Aiming at the disadvantages of traditional PCA dimensionality reduction and poor classification and low single-f...

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  • Front gait recognition method based on feature fusion
  • Front gait recognition method based on feature fusion
  • Front gait recognition method based on feature fusion

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[0044] Provide the explanation of each detailed problem involved in the technical scheme of this invention below in detail:

[0045] Step 1: The preprocessing process is as follows:

[0046] The database used by the algorithm of the present invention is the CASIA B gait database provided by the automation of the Chinese Academy of Sciences. The work to be done in the present invention is to preprocess the frame images so as to perform subsequent operations such as gait cycle detection and feature extraction.

[0047] (1) Morphological processing

[0048] Due to the influence of other external factors such as weather, light, shadow, etc., the foreground image obtained by difference between the frame with the portrait and the background frame will have noise, so the image needs to be further processed to obtain the best segmentation effect. The present invention uses morphological filtering to eliminate noise and fill in the absence of moving objects. The most basic operations...

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Abstract

A front gait recognition method based on feature fusion belongs to the technical field of mode recognition. The method mainly aims at solving the problem that the gait recognition rate of a single feature is low, firstly, a dynamic region in a gait energy diagram is extracted, features are extracted through Gabor wavelet transform, dimension reduction processing needs to be conducted due to the fact that the extracted features are high in dimension, and for the defect that traditional PCA dimension reduction classification is poor, dimension-reduced data serve as static features. The gait period is obtained according to the change of the ratio of the number of pixel points on the left side to the number of pixel points on the right side of the lower quarter area of the human body and used for describing the dynamic characteristics of the gait sequence, and based on the idea of characteristic fusion, static data characteristics obtained after PCA and LDA dimension reduction are fused with the dynamic characteristics describing the gait sequence for the first time; and finally, inputting the fused feature vectors into a support vector machine based on multi-classification to finish gait classification and recognition. Compared with a gait recognition method with a single feature, the fusion algorithm provided by the invention shows better recognition performance.

Description

Technical field: [0001] The invention belongs to the field of pattern recognition, and relates to a new method of frontal gait recognition based on feature fusion, which is a method for realizing automatic analysis and discrimination of human frontal gait by using computer technology, image processing and pattern recognition. Algorithms for Gait Feature Extraction and Recognition in the Field of Biometrics Background technique: [0002] With the development of modern computer and network technology, the importance of information security has become increasingly prominent. Traditional identification methods such as ID cards and passwords are far from meeting the requirements. As a means of identification, biometric identification technology has attracted more and more people's attention due to its inherent advantages. [0003] Biometrics are considered to be almost impossible to forge, and gait recognition as a representative of biometrics, [0004] Gait can be sensed and ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/54G06K9/62
CPCG06V40/25G06V10/20G06F18/285G06F18/2411G06F18/253
Inventor 王丹潘一凡
Owner BEIJING UNIV OF TECH
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