Pedestrian re-identification method and system and computer readable storage medium

Abstract

The invention provides a pedestrian re-identification method and system, a computer readable storage medium. The pedestrian re-identification method comprises the following steps: obtaining a calibration data set, and training the calibration data set to form a segmentation model; acquiring a pedestrian image, and segmenting the background of the pedestrian image to obtain a foreground image and an environment image; extracting body-shaped key points of pedestrians in the foreground image containing the pedestrians, and segmenting the foreground image based on the body-shaped key points to form an ROI; extracting features of the foreground image and the ROI of the region of interest based on a feature extraction model to obtain global features and weighted features, and connecting the global features and the weighted features in series to form a multi-dimensional feature vector; and performing similarity comparison on the multi-dimensional feature vector and features extracted from thetarget pedestrian to determine whether the pedestrian is the target pedestrian. By removing background images of pedestrians captured under different cameras, redundant features during feature extraction are eliminated, recognition results of pedestrian re-recognition are only based on pure features, and the occurrence of false recognition is reduced.

Description

technical field [0001] The invention relates to the field of intelligent monitoring, in particular to a pedestrian re-identification method, system and computer-readable storage medium. Background technique [0002] With the progress and development of the times, the current social environment is becoming more and more complex, and people pay more and more attention to the protection of their own personal safety. For this reason, dense high-definition cameras are deployed in crowded places such as shopping malls, hospitals, subways, and stations. On the one hand, it provides convenient video surveillance management, and on the other hand, it provides great help for police cracking cases and security command. And these dense high-definition cameras constitute a monitoring system that can be used to deploy intelligent video analysis grid. [0003] This kind of monitoring system usually adopts the traditional manual operation method to find and compare pedestrians of specific ...

AI Technical Summary

Problems solved by technology

Due to the above-mentioned implementation of pedestrian re-identification technology, there are many interferences from the environment, and the feature components of the background are often included in the extracted image features. Because the backgrounds presented by the same target pedestrian under different camera backgrounds are different, and the shooting angles are different. Different will also lead to a large difference in the extracted features to a certain extent

Images