Pedestrian re-identification method in zero-lap vision field

Abstract

The invention discloses a pedestrian re-identification method in a zero-lap vision field. The method comprises quickly detecting a pedestrian target in a monitoring vision field, and tracking the pedestrian target; by means of the tracking result information and video frame information, utilizing a GrabCut algorithm to divide an accurate pedestrian area, and at the same time utilizing a human body dividing model to divide the human body into two parts: the upper part and the lower part; utilizing the divided upper and lower part sequence for the pedestrian to respectively construct an HSV three-channel sparse dictionary for the upper part and the lower part of the pedestrian; performing sparse reconstruction for the pedestrian after performing dividing preprocessing for the detected pedestrian in the other monitoring vision field; and calculating the reconfiguration error and performing fusion determination of the reconfiguration error so as to obtain the coupling similarity. The pedestrian re-identification method in a zero-lap vision field can fully utilize the pedestrian sequence information and can reduce the interference of the background information so as to realize accurate identification for the same pedestrian target in different vision fields of different cameras under different angles and different postures.

Description

technical field [0001] The invention belongs to the field of intelligent video monitoring, and in particular relates to a pedestrian re-identification method under non-overlapping view fields. Background technique [0002] Pedestrian re-identification is one of the most challenging problems in the field of intelligent video surveillance. With the wide application of video surveillance technology, a large number of surveillance cameras are used in various public places. When the video is monitored, pedestrians in the video It is one of our key monitoring objects. Due to the limitation of the camera monitoring area, the joint monitoring of cameras without overlapping fields of view is more and more widely used in the monitoring system. In the non-overlapping field of view, target pedestrian re-identification is a technology that re-identifies target pedestrians who have appeared in the surveillance network when they appear in other camera scenes; when re-identifying and matchi...

AI Technical Summary

Problems solved by technology

In the non-overlapping field of view, target pedestrian re-identification is a technology that re-identifies target pedestrians who have appeared in the surveillance network when they appear in other camera scenes; when re-identifying and matching pedestrians, they often It is difficult for us to perform a good match based on only a certain picture information of pedestrians or a single feature information. At the same time, it is difficult for a single measurement criterion to achieve the same matching benchmark for different features. Therefore, how to effectively The key to solving pedestrian re-identification is to use the sequence information of pedestrian pictures and propose a comprehensive and robust representation feature and corresponding measurement criteria.

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