Pedestrian re-identification method based on multi-region feature extraction and fusion

A pedestrian re-identification and feature extraction technology, applied in the field of computer vision pedestrian re-identification, can solve the problem of low overall matching accuracy of the pedestrian re-identification method, and achieve the effect of reasonable design and improved matching accuracy.
CN108960140AActive Publication Date: 2018-12-07ACADEMY OF BROADCASTING SCI STATE ADMINISTATION OF PRESS PUBLICATION RADIO FILM & TELEVISION +1
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
ACADEMY OF BROADCASTING SCI STATE ADMINISTATION OF PRESS PUBLICATION RADIO FILM & TELEVISION
Publication Date
2018-12-07

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Abstract

The invention relates to a pedestrian re-identification method based on multi-region feature extraction and fusion, including the following steps: using a residual network to extract global features,and adding a pedestrian identity classification module for global feature extraction and optimization in the training stage; constructing a multi-region feature extraction sub-network for local feature extraction, and carrying out weighted fusion of local features; setting a loss function including the loss of the classification module and the loss of a feature fusion module; training the networkto obtain a model, and extracting the feature vectors of a query set and a test set; and in the measuring stage, re-measuring the feature distance by using a cross-nearest neighbor method. The methodis reasonable in design. Global and local feature are effectively combined. The distance measurement method is optimized. A good pedestrian re-identification result is obtained. The overall matching accuracy of the system is greatly improved.
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Description

technical field

[0001] The invention belongs to the technical field of computer vision pedestrian re-identification, in particular to a pedestrian re-identification method based on multi-region feature extraction and fusion. Background technique

[0002] With the continuous improvement of video capture technology and the rapid development of large-scale data storage technology, it is possible to apply a large number of surveillance camera systems in public places. The identification and processing of pedestrians in massive surveillance videos presents a trend of rapid development. Relying only on human eyes to identify pedestrians in surveillance images is obviously very inefficient. The task of pedestrian re-identification technology is to rely on computer vision technology to solve non-overlapping surveillance fields of view. The problem of identity matching of pedestrians.

[0003] There are two main categories of traditional solutions: one is feature extraction, which i...

Claims

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