Pedestrian re-identification method and equipment

Abstract

Disclosed are a pedestrian re-identification method, pedestrian re-identification equipment and a computer program product. The method comprises detecting pedestrians in each frame of a depth image of a depth video, extracting skeleton key points for each pedestrian in each frame of each depth image, normalizing a gesture of each pedestrian in the each frame of the each depth image into a gesture at a predetermined view angle, extracting an attribute characteristic of each pedestrian after gesture normalization for each pedestrian of each frame of each depth image, and identifying a target pedestrian in the depth video on the basis of the similarity between the attribute characteristic and a corresponding attribute characteristic of the target pedestrian. Through utilization of the method, the equipment and the computer program product, accuracy of pedestrian re-identification in different background environments and under the condition that multip cameras are disposed is improved.

Description

technical field [0001] The present disclosure relates to image processing, and in particular to a pedestrian re-identification method, device and computer program product. Background technique [0002] Person re-identification (Person re-identification) refers to the identification of target pedestrians from pedestrian image libraries or video streams from non-overlapping multiple camera fields of view. Different from ordinary pedestrian tracking under a single camera, pedestrian re-identification can realize long-term tracking and monitoring of specific pedestrians under different background environments and multi-camera settings, so it has a very large application prospect in the monitoring field. For example, the re-identification of pedestrians in shopping malls makes it possible to track the pedestrian's movement trajectory under multiple cameras, and then analyze and count his possible consumption behavior. For another example, in the intelligent video surveillance sy...

AI Technical Summary

Problems solved by technology

[0003] At present, pedestrian re-identification is usually based on the underlying information such as the color and texture of the pedestrian in the image or video, and the effect is often not ideal. The areas covered by the cameras often do not overlap; the lighting conditions at different camera locations may be different, resulting in the appearance of the same object under different cameras may vary greatly; pedestrians may walk with their backs or sides facing the camera, resulting in failure to capture face information, or even if the face information can be captured, because the resolution of the surveillance camera is usually low, the face cannot be seen clearly

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