Pedestrian re-identification method for solving part misalignment

Abstract

The invention discloses a pedestrian re-identification method for solving part misalignment, and the method comprises the steps: carrying out the data preprocessing of a pedestrian image, adjusting the size of the pedestrian image, carrying out the data enhancement, and carrying out the data standardization processing; constructing a pedestrian re-identification network model, namely constructingdeep representation of a pedestrian image, extracting multilayer features through a backbone network model, enhancing and fusing the multilayer features by using sub-modules to form a multi-branch structure, and extracting component features and global features of each branch; training the constructed network model, defining experiment-related configuration, and optimizing model parameters of thenetwork model; and pedestrian re-identification: extracting the depth representation of the query image through the trained network model, and returning the identification result of each query image according to the similarity between each query image and the queried set after using the second normal form normalization. The pedestrian re-identification method based on fusion of multi-scale features to solve the problem of component misalignment realizes the optimal pedestrian re-identification performance at the present stage.

Description

technical field [0001] The invention relates to the fields of machine learning and computer vision, in particular to a method for solving the problem of component misalignment. Background technique [0002] With the development of modern society, public safety has gradually attracted people's attention. Shopping malls, apartments, schools, hospitals, office buildings, large plazas and other places with dense crowds and prone to public safety incidents have installed a large number of surveillance camera systems. The research on surveillance video is mainly reflected in the identification of visible objects, especially is pedestrian recognition. This is because pedestrians are generally the target of surveillance systems. More precisely, the task of the surveillance system is to search for a specific pedestrian in the surveillance video data, that is, the task of pedestrian re-identification. [0003] However, on the one hand, the data volume of surveillance video is often...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a pedestrian re-identification method to solve component misalignment, so as to solve the problem of component misalignment existing in the technology of pedestrian re-identification method based on the depth model of components at the present stage

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