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Perspective-crossing gait recognition method based on 3D projection

A technology of gait recognition and perspective, applied in the field of video image recognition, can solve the problems of not considering the overall characteristics of the human body, low recognition accuracy, loss of recognition ability, etc.

Inactive Publication Date: 2014-06-25
JINAN UNIVERSITY
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Problems solved by technology

This type of method has the advantages of simplicity and practicability, but the recognition accuracy is not high
The reason is that this type of method has high requirements on the integrity of the human body area, and the noise generated by the early image processing or the accidental interference during the shooting process will have a great impact on the extracted features.
The reason is that this type of method is mainly based on the regular swing of the legs and arms of the human body during walking, without taking into account the overall characteristics of the human body during walking, resulting in the loss of recognition when the information of key parts such as legs and arms is blocked. ability

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  • Perspective-crossing gait recognition method based on 3D projection
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[0060] Such as figure 1 As shown, the present invention discloses a cross-view gait recognition method based on 3D projection, which mainly includes the following four steps: S1, two-dimensional gait image processing, S2, center of gravity trajectory extraction, S3, three-dimensional gait features Restoration, S4, 3D perspective conversion.

[0061] Step S1, two-dimensional gait image processing;

[0062] It is known that a gait video of a pedestrian on any side captured by a camera at any position is stored in the memory card of the camera in the form of a two-dimensional image. First, the two-dimensional image is processed by Gaussian filtering, and Gaussian filtering can smooth the image. The role of the signal, the signal-to-noise ratio of the second image signal processed by Gaussian filtering is high, which can more truly reflect the original image; and then the processed image is obtained by the three-frame difference method to obtain a binary black-and-white image sig...

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Abstract

The invention discloses a perspective-crossing gait recognition method based on 3D projection. The method mainly comprises the four steps of processing of two-dimensional images, extracting of gravity center trajectories, restoring of three-dimensional gait characteristics and three-dimensional perspective conversion. The method achieves gait recognition of gait characteristic accurate conversion among different shooting perspectives, the gait characteristics of flat images in a video camera can be restored into three-dimensional gait characteristics in a 3D space, and therefore a gait recognition process no longer needs multiple video cameras to achieve three-dimensional restoring. Meanwhile, due to the characteristics that the method extremely improves the arithmetic speed of perspective-crossing gait recognition and the method is free of influences of shooting perspectives, recognition can be carried out on the gait images shot by the video camera at any position, a gait recognition system developed by using the method can be applied to development of a simple door control system, and can also be applied to development of monitoring systems for streets, airports, public transportation and other public places with large visitor flow rates, and the intelligent monitoring level is raised to a new height.

Description

technical field [0001] The invention relates to the field of video image recognition, in particular to a 3D projection-based cross-view gait recognition method. Background technique [0002] Gait is the only characteristic of long-distance recognition, and it has the unique advantages of being difficult to camouflage and not requiring the cooperation of the target. Because the gait has the characteristics of continuous change and periodic cycle, when a pedestrian deliberately camouflages the gait and destroys the periodicity of walking, it is easy to be noticed by others. This is the most unique advantage of gait recognition compared with face recognition and fingerprint recognition. . [0003] The current gait feature extraction methods are mainly divided into model method and movement method. [0004] The model method refers to modeling according to the structure of the human body in the gait image, and uses the moving characteristics of the human body model as the gait ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/20
Inventor 杨天奇陈欣
Owner JINAN UNIVERSITY
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