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A 3D Gait Recognition Method Based on Occlusion Repair and Local Similarity Matching

A technology of similarity matching and gait recognition, applied in character and pattern recognition, computer parts, instruments, etc., can solve problems such as multi-view gait recognition that cannot be solved well

Active Publication Date: 2017-02-15
CENT SOUTH UNIV
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a three-dimensional gait recognition method based on occlusion repair and local similarity matching to solve the problem that the current gait recognition method cannot solve the problem of multi-view under occlusion. problem with gait recognition

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  • A 3D Gait Recognition Method Based on Occlusion Repair and Local Similarity Matching
  • A 3D Gait Recognition Method Based on Occlusion Repair and Local Similarity Matching
  • A 3D Gait Recognition Method Based on Occlusion Repair and Local Similarity Matching

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Embodiment Construction

[0076] Such as figure 1 Shown, the inventive method comprises the following steps:

[0077] A. Perform background elimination and wavelet soft threshold filtering on the depth image collected by a single depth camera to obtain the gait depth image after filtering;

[0078] B. Use the filtered and repaired gait depth image to extract 3D gait point cloud data, and complete the 3D surface feature modeling through the point cloud reduction method based on Gaussian and average curvature entropy values ​​to obtain a 3D gait surface model;

[0079] C. For the three-dimensional gait surface model, use the local similarity matching method to extract the common gait feature data of each view angle, and perform data fusion on all the common gait features in the gait cycle of each view angle to generate a three-dimensional local fusion gait model, Using the 3D local fusion gait models from various perspectives to obtain a multi-view 3D local fusion gait feature library;

[0080] D. Divi...

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Abstract

The invention discloses a three-dimensional gait recognition based on shielding recovery and partial similarity matching. Moving human body detection, deep data filtering recovery, point cloud data extraction, reduction and three-dimensional human body surface modeling are carried out through a gait depth image collected by a single depth vidicon. Partial public gait feature extraction and fusion at various vision angles is carried out on all three-dimensional surface gait models through a partial similarity matching method; recovery of gait shielding area data is finished through a shielding conversion recovery model based on prior knowledge and singular value decomposition, and therefore multi-vision-angle three-dimensional gait classification recognition under a shielding condition is finished in a classification mode. The three-dimensional gait recognition based on shielding recovery and partial similarity matching resolves the problems that an existing gait recognition method can not well achieve gait surface model point cloud reduction rebuilding with the single vidicon and multi-vision-angle gait recognition under a shielding condition, provides a new measure for vision angle changeable gait recognition under a shielding condition, and has good economical and social benefits.

Description

technical field [0001] The invention relates to the field of biological feature recognition, a three-dimensional gait recognition method based on occlusion repair and local similarity matching. Background technique [0002] In the current gait recognition process, the acquisition of gait images mainly relies on ordinary cameras to obtain two-dimensional gait images. After periodic detection and feature extraction are performed on the two-dimensional gait images, gait recognition from a specific perspective can be performed. [0003] Another method uses multiple cameras or stereo cameras for gait image data acquisition and 3D reconstruction, and extracts gait features in 3D space for gait recognition. [0004] The acquisition and processing of 2D video is relatively simple, but when using 2D images for gait recognition, if there is occlusion or a large change in viewing angle, the recognition rate will drop significantly, seriously affecting its practicability in anti-terrori...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/66
Inventor 唐琎罗坚许天水王富强郝勇峰毛芳
Owner CENT SOUTH UNIV
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