Pedestrian re-identification method based on spatial reverse attention network

A pedestrian re-identification, space technology, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., to achieve the effect of improving effectiveness and reliability
CN112836637AActive Publication Date: 2021-05-25JIANGNAN UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
JIANGNAN UNIV
Publication Date
2021-05-25

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Abstract

The invention discloses a pedestrian re-identification method based on a spatial reverse attention network. The pedestrian re-identification method comprises the steps of collecting shot pictures and dividing into a training set and a test set; constructing a spatial reverse attention network model based on Resnet-50, training a convolutional neural network according to the training set, and adding CBAM-Pro; dividing the network into two branches according to the added CBAM-Pro, executing forward learning and reverse attention at the same time, and extracting forward and reverse global features and local features; and connecting the extracted features according to channel dimensions to obtain pedestrian identification features including multiple types of features, and performing re-identification verification on the pedestrian identification features by using the test set to complete pedestrian re-identification. According to the method, multi-type pedestrian identification features are extracted based on the spatial reverse attention network, and the effectiveness and reliability of re-identification are improved.
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Description

technical field

[0001] The invention relates to the technical field of intelligent security, in particular to a pedestrian re-identification method based on a spatial reverse attention network. Background technique

[0002] Pedestrian re-identification has a great demand in the field of intelligent security. It aims to associate the same pedestrians in different places at different times. The general method is to give a picture of a pedestrian to be retrieved, and extract the query through the trained model. According to the features of pictures and pictures in the gallery, the pictures in the gallery are sorted according to the similarity of the features, so as to retrieve pedestrian images. In recent years, the task of pedestrian re-identification has made great progress. However, in an open outdoor environment, pedestrian images will have large differences due to the presence of interference such as pose, occlusion, clothing, background clutter, and camera perspective. Th...

Claims

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