A pedestrian rerecognition method based on multi-view image feature decomposition

A pedestrian re-identification and image feature technology, applied in character and pattern recognition, instruments, calculations, etc., can solve the problem of low accuracy and achieve the effect of improving accuracy

Active Publication Date: 2019-03-29
TAIYUAN UNIV OF TECH
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Problems solved by technology

From the research results described above, it can be seen that the research on image-based pedestrian re-identification has made significant progress, but there is room for further improvement, mainly due to the problem of low accuracy.

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  • A pedestrian rerecognition method based on multi-view image feature decomposition
  • A pedestrian rerecognition method based on multi-view image feature decomposition
  • A pedestrian rerecognition method based on multi-view image feature decomposition

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Embodiment Construction

[0047] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0048] A pedestrian re-identification method based on multi-view image feature decomposition, which is carried out according to the following steps:

[0049] 1. Construct a multi-view image feature decomposition neural network to realize the description of pedestrian images from different perspectives (such as figure 1 shown)

[0050] 1. Establish the training data set and test data set of the multi-view image feature decomposition n...

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Abstract

The invention relates to the technical field of intelligent image retrieval, More specifically, the invention relates to a pedestrian recognition method based on multi-view image feature decomposition, which starts from the problem of target image classification and combines with capsule network to construct a pedestrian image multi-view image feature generation network, and decomposes any pedestrian image to obtain multi-view image features and similarity under the view. Features of the same view angle are directly used for re-recognition, and features of different view angles must undergo feature conversion. In the invention, a feature conversion matrix obtained by using a BP neural network solves the measurement problem of features of different view angles. Experiments show that the decomposition of pedestrian images is very helpful to improve the accuracy of pedestrian recognition.

Description

technical field [0001] The invention relates to the technical field of intelligent image retrieval, and more particularly, to a pedestrian re-identification method based on multi-view image feature decomposition. Background technique [0002] With more and more attention paid to social public safety, a large number of surveillance cameras have been installed in many important places. The surveillance videos captured by surveillance cameras can provide the public security departments with clues to detect major criminal cases such as terrorist attacks and crowd fights. Pedestrian re-identification is an automatic target recognition technology, which can quickly locate the human target of interest in the surveillance network, and is an important step in applications such as intelligent video surveillance and human behavior analysis. The main purpose of using pedestrian re-identification technology is to solve the problem of pedestrian retrieval in the field of security monitori...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/30
Inventor 李海芳杨晓峰邓红霞姚蓉郭浩
Owner TAIYUAN UNIV OF TECH
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