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A Pedestrian Recognition Method and System Based on Adaptive Depth Spatial Features

A spatial feature and pedestrian recognition technology, applied in the field of image processing, can solve the problems of different camera resolutions, the same pedestrian is misjudged as the same pedestrian, and feature information is not extracted.

Active Publication Date: 2019-12-20
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0003] With the development of society and the advancement of technology, technology has more and more influence on people, and people's demand for identification is getting stronger and stronger. Inconsistencies and other issues make it easy for the same pedestrian to be misjudged as the same pedestrian
In the past, the method of directly extracting features from the entire image was often used, which often did not extract enough more detailed feature information.

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  • A Pedestrian Recognition Method and System Based on Adaptive Depth Spatial Features
  • A Pedestrian Recognition Method and System Based on Adaptive Depth Spatial Features
  • A Pedestrian Recognition Method and System Based on Adaptive Depth Spatial Features

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Embodiment Construction

[0042] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0043] Such as figure 1 The pedestrian recognition method of a kind of self-adaptive depth spatial feature shown, comprises the following steps:

[0044] Step S1: Acquiring pedestrian images, and segmenting the pedestrian images according to a preset number n of segmentations to obtain n blocks of pedestrian image blocks;

[0045] Step S2: Establishing n groups of feature extraction models with the same number of pedestrian image blocks, the n groups of feature extraction models extract feature information from the n blocks of pedestrian image blocks in one-to-one correspondence, and obtain n groups of feature information; One-to-one correspondence means that a feature extraction model corresponds to a pedestrian i...

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Abstract

The present invention provides a pedestrian recognition method and system for adaptive depth spatial features; the method includes the steps of: segmenting the pedestrian image according to the preset segmentation number n; establishing n groups of feature extraction models with the same number of blocks as the pedestrian image, And correspondingly extract feature information from n blocks of pedestrian image blocks; establish n groups of feature classifiers with the same number of feature information groups, and correspondingly classify n groups of feature information; calculate each The loss value generated in the group feature classification process; return n groups of loss values ​​to the corresponding feature extraction model and feature classifier to optimize the feature extraction model and feature classifier. The present invention can effectively extract more information of pedestrians, especially local information, and adopts the adaptive pedestrian feature classification in the form of loss value feedback, and finally tends to the optimal solution, which can guide the pedestrian feature extraction model to extract more depth spaces pedestrian feature information.

Description

technical field [0001] The present invention mainly relates to the technical field of image processing, in particular to a pedestrian recognition method and system for adaptive depth space features. Background technique [0002] With the popularization of computers and the emergence of smart devices, technology has an increasing influence on people. With the intensification of globalization, people's demand for identity verification is becoming stronger and stronger. There is a big gap between traditional personal identification codes, passwords, IC cards, security cards and other traditional identification technologies due to their unchanging operations and difficulty in remembering and the needs of the information age. Face recognition is a very popular topic in the field of biometric identification. It is a biometric identification technology that is expected to be widely used in social and economic activities and people's daily life after fingerprint identification. Ped...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/103G06F18/24
Inventor 蔡晓东宋宗涛
Owner GUILIN UNIV OF ELECTRONIC TECH
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