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Gait contour capture statistics method

A statistical method and contour technology, applied in computing, computer parts, image data processing, etc., can solve the problems affecting the effect of gait contour extraction, and achieve the effect of improving clarity, distinguishability, and good localization effect.

Inactive Publication Date: 2016-06-01
安徽勤勉知识产权代理有限公司
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AI Technical Summary

Problems solved by technology

[0005] The existing gait contour extraction methods limit the same gray level in the image segmented by the evolution curve, and make different image information in different areas, which affects the effect of gait contour extraction

Method used

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Examples

Experimental program
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Embodiment Construction

[0010] This specific implementation adopts the following technical scheme: it expresses the level set function in a space-time discrete grid, first constructs the SDF function, initializes it to zero, solves the numerical solution of the partial differential equation, and finally passes the signed distance function of the curve Re-initialize, and determine whether the value is stable, if yes, stop the iteration, otherwise repeat the above process.

[0011] This specific implementation uses a new variational level set model based on the CV model, which combines the edge and area information of the image; for the external energy item, on the basis of retaining the original CV model energy item, Adding the gradient value of the image before and after the segmentation, a new model function can be obtained.

[0012] This specific implementation has a better localization effect on the image boundary, and combines the image edge and area information to improve the clarity and disting...

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Abstract

Provided is a gait contour capture statistics method. A level set function is expressed in a spatial-temporal discrete grid. First, an SDF (Sign Distance Function) is constructed, and initialization for zeroing is carried out; then, the numerical solution of a partial differential equation is solved; and finally, re-initialization is carried out through a curvilinear sign distance function, whether the numerical value is stable or not is judged, iteration is stopped if the numerical value is stable, or the process is repeated. A new variational level set model combining the image edge and regional information based on a CV model is adopted. For an external energy term, the gradient values of an image before and after segmentation are added on the basis of retaining the energy term of the original CV model, and a new model function can be obtained. The gait contour capture statistics method has a good localization effect for image boundaries. The image edge and regional information are combined, and the definition and distinctiveness of the gait contour are improved.

Description

Technical field: [0001] The invention relates to the technical field of gait contour extraction, in particular to a gait contour capture statistical method. Background technique: [0002] In computer vision, various imaging systems are used to replace visual organs as input sensitive means, and computers are used to replace the brain to complete processing and interpretation; the ultimate research goal of computer vision is to enable computers to observe and understand the world through vision like humans, and have the ability to adapt to the environment autonomously. Ability. [0003] Gait feature recognition is different from other biological feature recognition technologies (such as face, iris, fingerprint, etc.), gait is an external and dynamic performance of people, and is closely related to time and space. Compared with recognition technology, gait recognition has significant advantages such as non-contact, non-invasive and difficult to hide, these advantages make it ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06T7/00
Inventor 张雨蒙
Owner 安徽勤勉知识产权代理有限公司
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