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Pedestrian re-identification method and pedestrian re-identification system based on ST-SSCA-Net

A pedestrian re-identification, st-ssca-net technology, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve the problem of low recognition accuracy, achieve strong data transmission stability, and improve recognition accuracy , improve the effect of relevance

Active Publication Date: 2020-09-11
WUHAN UNIV
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AI Technical Summary

Problems solved by technology

[0008] The present invention proposes a pedestrian re-identification method and system based on ST-SSCA-Net (Strong-Triplet & Self-Spatial-Channel-Attention-Net), which is used to solve or at least partially solve the problem of poor recognition accuracy in the prior art. high technical issues

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  • Pedestrian re-identification method and pedestrian re-identification system based on ST-SSCA-Net

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Embodiment 1

[0051] This embodiment provides a method for pedestrian re-identification based on ST-SSCA-Net, please refer to figure 1 , the method includes:

[0052] S1: Collect video data of pedestrians in the preset scene;

[0053] S2: Use the Yolov3 algorithm to extract pedestrians from the collected video data, and obtain pictures containing pedestrians;

[0054] S3: The pre-built neural network ST-SSCA-Net is used to re-identify the pictures based on the range of pedestrians, and the recognition result is obtained. The backbone network of ST-SSCA-Net is the ResNet50 network that removes the downsampling part of the last layer. The SSCA attention mechanism is used to enhance the feature map information obtained by the first layer of the ResNet50 network, and the network is optimized by using multi-level semantic information and global and local feature fusion methods.

[0055] Specifically, the collected video data can be stored in the database, and then the video data is read from t...

Embodiment 2

[0079] Based on the same inventive concept, this embodiment provides a pedestrian re-identification system based on ST-SSCA-Net, including:

[0080] A video acquisition module, configured to collect video data of pedestrians in a preset scene;

[0081] The pedestrian range extraction module is used to extract pedestrians from the collected video data using the Yolov3 algorithm to obtain pictures that include the range of pedestrians;

[0082] The pedestrian re-identification module is used to re-identify the pictures based on the range of pedestrians through the pre-built neural network ST-SSCA-Net, and obtain the recognition results. The backbone network of ST-SSCA-Net is to remove the last layer of down-sampling Part of the ResNet50 network uses the SSCA attention mechanism to enhance the feature map information obtained by the first layer of the ResNet50 network, and optimizes the network by using multi-level semantic information and global and local feature fusion methods....

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Abstract

The invention discloses a pedestrian re-identification method and a pedestrian re-identification system based on ST-SSCA-Net. The method comprises the following steps of: constructing a network by using a pytorch; adopting a Yolov3 algorithm to position and track pedestrians in the video; cutting out a pedestrian range extracted by a Yolov3 algorithm, sending a picture of the pedestrian range intoa pedestrian re-identification algorithm based on ST-SSCA-Net to compare and identify the pedestrian identity of the pedestrian and the pedestrian identity of a picture library, and performing systemconstruction by an edge segment high-definition video camera and a real-time visualization system. Compared with a similar pedestrian re-identification algorithm, the method has the advantages that the acquisition of an attention mechanism is enhanced, and the model accuracy is improved. Meanwhile, the invention designs an enhanced triple loss for model training, and the clustering effect of themodel is greatly improved.

Description

technical field [0001] The invention relates to the field of video security monitoring, in particular to a pedestrian re-identification method and system based on ST-SSCA-Net. Background technique [0002] In recent years, the frequent flow of people, especially the cross-border population flow caused by rapid economic development has made it increasingly difficult to maintain public safety in various regions. At present, manual video retrieval has problems such as difficulty in distinguishing the original video by naked eyes, and long search time by human eyes. However, due to the limitations of factors such as shooting angle and camera resolution, the faces of pedestrians captured in the camera surveillance are blurred, and it is impossible to use face recognition technology to directly judge the identity, which makes it necessary to search for people based on body shape or clothing and other characteristics. . At the same time, the cameras in the surveillance network ar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V20/53G06N3/045G06F18/23G06F18/253G06F18/214
Inventor 种衍文王悟信付建红
Owner WUHAN UNIV
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