Human body re-recognition method

A re-identification, human body technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of high recognition success rate, imperfect feature description and feature matching, low false alarm rate, etc., to achieve high recognition success rate, avoid the calculation process and calculation anomalies, the effect of low false alarm rate

Active Publication Date: 2016-02-03
PLA UNIV OF SCI & TECH +1
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AI Technical Summary

Problems solved by technology

[0006] The present invention proposes a human body re-identification method, which solves the imperfect problem existing in the feature description and feature matching of the prior art, and has a higher recognition success rate and a lower false alarm rate

Method used

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Embodiment Construction

[0013] 1. Human body scale space division method and multi-channel space histogram used in the present invention

[0014] Using a single color channel to create a spatial histogram has limited effect on human re-identification. Aiming at the specific application of human body re-identification, the present invention uses the human body image area as a unit, adopts multi-level and multi-scale space division to establish multiple spatial histograms, and introduces multiple color channels of the human body image area in terms of pixel features, which can be more accurate accurately reflect the color and structure information of the human body.

[0015] 1. Human scale space division

[0016] Due to the limitation of imaging conditions, the human body image input in the process of human body re-identification may not be completely accurate, and the use of similar features such as hands and feet of the human body may not necessarily bring benefits to human body re-identification. ...

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Abstract

The present invention provides a human body re-recognition method. A human torso is used as a first-layer image region of human body scale space division, and each subsequent level of human body scale space division is multi-level human body scale space division performed on a human body image in an equal-area division manner based on a previous level of image region division, to acquire a multi-level human body image region; and a plurality of color channels are chosen, spatial histogram calculation is performed on each color channel according to each level of human body image region obtained through the multi-level human body scale space division, and then the plurality of color channels are cascaded to form a multi-channel spatial histogram. The method provided by the present invention solves the problem that feature description and feature matching in the prior art have defects, and the method has a high recognition success rate and a low false alarm rate.

Description

technical field [0001] The invention belongs to the technical field of video surveillance and identification, and relates to a human body re-identification method, in particular to a method for realizing human body re-identification by using a multi-channel space histogram. Background technique [0002] In recent years, human target re-identification technology has been extensively studied, and it has played an important role in video network monitoring, multi-target tracking and human behavior analysis. Since the classic human face and other biological features are too low to be recognizable at a long distance, researchers gradually regard the entire human body with more pixels as the identification object. Human body re-identification refers to using the existing human body target library to re-identify and confirm the target identity of the currently queried human body image by searching the library when the scene or time changes. Human re-identification is not an easy p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 吴泽民邱正伦曾明勇田畅刘熹张磊
Owner PLA UNIV OF SCI & TECH
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