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Viewing-angle greatly-variable gait recognition method based on gait three-dimensional contour matching synthesis

A technology of 3D outline and 3D fusion, applied in the field of biometric identification, can solve problems such as gait recognition that cannot well solve the large change in viewing angle

Active Publication Date: 2014-09-24
CENT SOUTH UNIV
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AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is to provide a gait recognition method with a large angle of view variable based on gait three-dimensional contour matching and synthesis to solve the problem that the current gait recognition method cannot well solve the problem of large angle of view. Gait recognition problem

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  • Viewing-angle greatly-variable gait recognition method based on gait three-dimensional contour matching synthesis
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  • Viewing-angle greatly-variable gait recognition method based on gait three-dimensional contour matching synthesis

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Embodiment Construction

[0091] The method process of the present invention is as figure 1 shown.

[0092] 1. Gait depth image acquisition and processing

[0093] Use the Kinect depth camera to obtain the depth image and color image video of the scene, carry out background modeling on the RGB image, and use the inter-frame difference method and background pruning method to obtain the gait color image with the background removed; use the method of setting the threshold to roughly extract Corresponding gait depth images. Human scale matching of RGB images and depth images is used to obtain accurately extracted gait depth images (see appendix figure 2 ).

[0094] 2. Gait depth image inpainting

[0095] Depth image restoration based on multi-curve fitting and Gaussian distribution information fusion for gait depth images:

[0096] Step 1: Execute the XOR operation on the refined depth map and zoom map to determine the area to be repaired, count all the pixels to be repaired, and set a repair access ...

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Abstract

The invention discloses a viewing-angle greatly-variable gait recognition method based on gait three-dimensional contour matching synthesis. The method is characterized by comprising the following steps: detecting a moving body on the basis of a double-mass-center self-adaptive matching for a color and depth image collected by a single depth camera, extracting a gait depth image with background being removed, and repairing the gait depth image on the basis of multi-curve fitting and gauss distribution information fusion; carrying out cloud extraction on gait points; fusing data of all three-dimensional gait surface models within one gait period to generate a three-dimensional fusion gait energy model; rotating two fusion gait models of two training viewing angles to the same viewing angle, completing the surface butt joint of different viewing-angle three-dimensional gait models through the three-dimensional contour matching, and extracting the multi-viewing-angle gait fuzzy contour data; completing the three-dimensional gait classification recognition with the viewing angle being greatly varied through a gait sub-image which is fused with the gait fuzzy contour and an integration classifier. By adopting the method, the problem that the difficulty of viewing-angle greatly-variable gait recognition cannot be solved by the existing gait recognition method can be solved.

Description

technical field [0001] The invention relates to the field of biometric feature recognition, in particular to a gait recognition method based on gait three-dimensional contour matching and synthesis with a greatly variable viewing angle. Background technique [0002] Gait recognition, as a long-distance and non-cooperative biometric means, aims to realize personal identification, identification or detection of physiological, pathological and psychological characteristics according to people's walking gait. Gait recognition can be performed with low image quality, without the cooperation of the recognition object, the recognition distance is relatively long, and it is difficult to camouflage and hide, which has obvious advantages compared with traditional biometric recognition. [0003] In many cases, it is required to realize the identification and monitoring of personal identity without any interactive contact with the identified object. Some important confidential places o...

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Application Information

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IPC IPC(8): G01C11/00A61B5/11G06T7/20
CPCG06V20/653G06V40/25
Inventor 唐琎罗坚王富强许天水郝勇峰毛芳
Owner CENT SOUTH UNIV
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