Pedestrian re-identification method in video surveillance network based on small group information association

Abstract

The invention provides a method for re-identifying pedestrians in a video monitoring network based on small-group information correlation. In the multi-camera pedestrian identification process of the monitoring network, particularly in the extraction and matching processes of pedestrian characteristics, the characteristics of the pedestrians tend to be influenced by scene variation and illumination variation easily, leading to reduction of the re-identification rate. Meanwhile, pedestrians wearing similarly exist in a large-range monitoring network, leading to wrong re-identification of the pedestrians. In order to increase the re-identification rate of the pedestrians and lower the influences of external factors on pedestrian re-identification, the small-group characteristic of pedestrians is taken as an important characteristic for pedestrian re-identification according to the correlation of small-group information, thereby mainly solving the problems of low pedestrian re-identification accuracy and low accuracy in the video monitoring network.

Description

technical field [0001] The invention belongs to the field of computer vision, in particular to a pedestrian re-identification method in a video surveillance network based on small group information association. Background technique [0002] In recent years, as one of the important topics of computer vision and pattern recognition, intelligent video surveillance in surveillance network has been applied and popularized in public security, financial security, transportation, and other fields in intelligent video surveillance. Video intelligent surveillance in the surveillance network includes multi-camera calibration, multi-camera network topology, multi-camera tracking, pedestrian re-identification, etc. Among them, in the process of pedestrian re-identification with multiple cameras in the monitoring network, especially in the process of pedestrian feature extraction and matching, pedestrian features are easily affected by scene changes and lighting changes, resulting in a re...

AI Technical Summary

Problems solved by technology

[0003] Aiming at the problems of low pedestrian re-identification rate and low precision in the monitoring network existing in the prior art, the present invention provides a pedestrian re-identification method in a video surveillance network based on small group information association, which includes the following steps:

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