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Person recognition method based on multi-visual feature fusion

A feature fusion and person recognition technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of limited scope of personnel recognition work, poor recognition results, and multiple background parts, etc., to achieve practical value, High accuracy, simple operation effect

Active Publication Date: 2017-07-21
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

Moreover, if it is a person image obtained by a non-manual method, it often contains more background parts
At this time, even after preprocessing, the background part will still have adverse effects on subsequent feature extraction and feature comparison, and ultimately affect the recognition results
In the second step of processing, the selected features are often not universal, and are only suitable for use in certain specific environments, and the description of personnel information is not comprehensive enough, the difference between different personnel is not obvious enough, and the recognition results are relatively poor
[0006] In addition, the scope of existing person recognition work for surveillance video is very limited, and most of them are only for a single image

Method used

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  • Person recognition method based on multi-visual feature fusion

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Embodiment Construction

[0038] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0039] see figure 1 , introduce the person identification method based on multi-visual feature fusion of the present invention: first analyze the surveillance video, extract relevant personnel information, and perform feature description, and finally perform search according to the input video image, and obtain the identification result of relevant personnel. The inventive method comprises following three major operation steps:

[0040] Step 1, video tracking processing stage: first detect the foreground in the video, extract the moving clumps from the foreground, and track the clumps, detect and judge whether the new clumps are human clumps; The human body rectangle image is cut out and saved for subsequent processing; if not, the new clump is discarded.

[004...

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Abstract

A person recognition method based on multi-visual feature fusion, which first analyzes the surveillance video, extracts relevant personnel information, and performs feature description, and finally performs search according to the input video image to obtain the recognition result of relevant personnel; including video tracking processing, human body There are three operational phases or steps of clump handling and personnel identification. The method of the present invention can automatically extract suitable personnel images from the video and perform preprocessing; it also makes corresponding improvements to the problems existing in the description features, selects more general features, and reorganizes the features to fuse them into new Characteristics. The method of the invention achieves innovations in removing background parts, dividing human body images into blocks and extracting semantic color features. The test results of the monitoring video in the multiple simulation embodiments of the present invention show that the operation is simple, convenient, effective and has a good recognition effect. Therefore, the method of the present invention has a good prospect of popularization and application.

Description

technical field [0001] The invention relates to a person recognition method based on multi-visual feature fusion, and belongs to the technical fields of computer vision, digital image processing, multimedia information processing and video monitoring. Background technique [0002] Person recognition is a research hotspot in the field of computer vision. It uses technology based on biometrics to solve the problem of identifying people, thus giving birth to the branch field of person recognition based on multiple features such as face, iris, fingerprint and gait. . However, in most video surveillance scenarios, accurate biometrics are often not obtained. Moreover, the resolution and frame rate of the video are relatively low, and the background environment is complex, which greatly reduces the effect of person identification based on biometrics, or even cannot conduct. In this context, a new branch of person recognition: appearance-based recognition research was born. [00...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06K9/62
Inventor 马华东张海涛魏汪洋赵彦高一鸿黄灏傅慧源赵晓萌
Owner BEIJING UNIV OF POSTS & TELECOMM
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