Pedestrian re-identification method and system based on segmentation silhouette

Abstract

The invention belongs to the field of computer vision, in particular to a pedestrian re-identification method and system based on segmented silhouettes, and aims to solve the problem of how to eliminate image background noise and improve the accuracy of pedestrian re-identification. For this purpose, the pedestrian re-identification method in the present invention includes: based on a pre-built pedestrian re-identification model and according to the color image of the pedestrian to be measured and the corresponding segmentation silhouette, the pedestrian characteristics of the pedestrian to be measured are obtained; The similarity between the preset pedestrian identity features; obtain the pedestrian identity feature corresponding to the maximum similarity, and obtain the identity information of the pedestrian to be tested according to the obtained pedestrian identity feature. The pedestrian re-identification method based on the present invention can better solve the problem of pedestrian re-identification under the condition of cluttered background, and improve the recognition accuracy. Meanwhile, the pedestrian re-identification system in the present invention can execute and realize the above method.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a pedestrian re-identification method and system based on segmented silhouettes. Background technique [0002] Pedestrian re-identification is a technology that uses computer vision technology to determine whether a specific pedestrian exists in an image or video sequence. This technology has a wide range of applications in security monitoring, intelligent video analysis, and personnel search and rescue retrieval. [0003] Pedestrian re-identification technology has been studied in academia for many years by processing image data for target detection. It was not until recent years with the development of deep learning that a huge breakthrough was made. The feature description of pedestrians is extracted based on deep convolutional neural network. The ideal state is that the extracted features have a strong distinguishing effect and are relatively stable. However, due to...

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Problems solved by technology

[0004] In order to solve the above-mentioned problems in the prior art, that is, to solve the problem of how to eliminate image background noise and improve the accuracy of pedestrian re-identification, one aspect of the present invention provides a pedestrian re-identification method based on segmented silhouettes, including:

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