Method for compensating for gait binary value distortion

Abstract

The present invention provides a method of making up for walking two-value image distortion, main resolving the problem of human information defect contained in the walking two-value image of the walking database. The particular courses of the method is: processing denoising, cutting pretreatment to the walking two-value image to obtain a normal walking image; acting the difference value of the present representation walking image and a prevFrame normal walking image as frame difference of the normal walking image; adding each walking image in the walking cycle, and getting its average to obtain the walking energy image of the cycle; filtering the walk energy image according to the set threshold, removing the noise or weaker signal of the energy image to obtain a walking main image; combining the walking main image and the normal walking image to obtain frame difference main image to make up for distortion of the walking two-value image caused by human information defect, and embodying changes of the form under the walking course. The invention can effectively attribute the walking two-value image and improve discrimination, also can used for the image processing course of the walking identification.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to the processing of the distortion of the binary image of gait, which can be used to make up for the binary image of gait with serious defect of human body information. Background technique [0002] As a new biometric identification method, gait recognition mainly refers to identifying people through the analysis of people's walking posture. It is different from face recognition, fingerprint recognition, iris recognition and other biometric technologies. The advantages of long-distance recognition and not easy to be concealed have attracted more and more attention from researchers. [0003] Early medical research shows that there are 24 different components in a person's gait. If these 24 components are taken into account, the gait is unique to the individual. In 1973, Johansson gave a physical psychology experiment in the document "Visual Perception of biolog...

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Problems solved by technology

[0007] The method of gait energy map can achieve the purpose of being robust to noise, but using only one gait energy map to represent a gait cycle will lose a lot of detailed information, and it is difficult to take advantage of its advantages when the training sample cycle is small ;The representation of the gait time map can extract more motion information from the gait sequence, but the selection of the critical moment is a big problem, the critical moment of different people is different, even the same person corresponds to different cycles There are often differences. This method also requires multiple training cycles; the method based on the flannelette feature of the morphological change is based on the key frame and other gait binary images relative to the key frame. From the experimental results, it is helpful to improve The overall performance of the experiment is not sensitive to changes in appearance, but it also ignores some details and relies too much on key frames. If the key frames are not well selected or the quality of the key frames is poor, it will have a greater impact

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