Single-view-angle low-resolution gait feature extraction method and device and storage medium

Abstract

The invention discloses a single-view-angle low-resolution gait feature extraction method and device and a storage medium. The method comprises the steps: acquiring a monitoring image; processing themonitoring image by adopting an interpolation-based super-resolution algorithm to obtain a high-resolution monitoring image; performing spatial local feature extraction on the high-resolution monitoring image by adopting a Gabor filter to obtain gait Gabor features; performing dimension reduction processing on the gait Gabor features based on a maximum mutual information amount method, so as to obtain initial gait features; and performing secondary dimension reduction and noise reduction processing on the initial gait feature based on a principal component analysis method to obtain a final gait feature. According to the method, the super-resolution technology is used for extracting the high-resolution information, the high-resolution information is filtered through the Gabor filter and then subjected to dimensionality reduction twice, the final gait feature is obtained, spatial feature expression under the low-resolution and unclear conditions can be obtained, and the problem of spatial gait feature expression when a single-view-angle fixed camera is switched to a multi-view-angle camera is solved.

Description

technical field [0001] The present invention relates, in particular, to a single-view low-resolution gait feature extraction method, device and storage medium. Background technique [0002] Gait recognition is currently one of the important means of long-distance biometric recognition, and has great application scenarios in security detection, criminal investigation, and public domains. Spatial feature extraction based on human body structure has the advantages of simple representation of feature information, relatively convenient extraction, and certain robustness to noise and loss. However, it is difficult to accurately describe gait by directly extracting feature information from human body shape. For example, in a low-resolution complex surveillance scene under a single viewing angle, it is difficult to accurately extract the spatial features of the human body structure from the surveillance image. This may cause different targets to have the same feature expression. ...

AI Technical Summary

Problems solved by technology

[0003] The invention provides a single-view low-resolution gait feature extraction method, device and storage medium to solve the problem that the existing gait feature extraction method is difficult to accurately describe the gait in a complex monitoring scene

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