Pedestrian re-recognition method and system based on multi-channel consistency features

Abstract

The invention belongs to the technical field of image processing, and relates to a pedestrian re-recognition method based on multi-channel consistency features. The method includes the following stepsthat N to-be-matched image pairs of training data and test data and labels ln corresponding to the image pairs are input, wherein n equals to 1,...,N; semantic feature representations of the input image data and color texture spatial distribution feature representations are extracted; consistency feature representations of the semantic feature representations and the color texture spatial distribution feature representations are obtained through multi-scale feature matching; a binary classifier is built for the obtained consistency feature representations, and a probabilistic representation for the same target is output. The method has the advantages that pedestrian recognition is carried out through comprehensive pedestrian image semantic attributes and color distribution features, and the method is high in precision, stable in performance and suitable for solving the problem of pedestrian re-recognition in a complex scene.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a pedestrian re-identification method based on multi-channel consistency features, in particular to a deep learning method for pedestrian re-identification combined with image semantic consistency features and color texture distribution consistency features. Background technique [0002] The task of pedestrian re-identification is to deal with the problem of cross-camera pedestrian matching. The application of this technology in the pedestrian monitoring network is reflected in pedestrian tracking, human body retrieval, etc., and has extremely huge application scenarios in the field of public security. Pedestrian semantic attribute information and pedestrian color texture distribution information are complementary to a certain extent, and they are two aspects of describing pedestrians. Combining the two features for pedestrian re-identification can make up for the defect of...

AI Technical Summary

Problems solved by technology

[0003] The semantic attribute structure information of pedestrians and the color texture distribution information of pedestrian appearance are the basic information contained in the image. For the task of pedestrian re-identification, due to the large number of scenes and the huge size of pedestrians, there are often some scenes where pedestrians have similar color texture distribution on the appearance of pedestrians, such as In some scenes, pedestrians wear uniform uniforms. On the other hand, there are many people with extremely similar body characteristics and walking habits. Therefore, previous methods that rely solely on pedestrian semantic attribute information or color texture distribution information cannot perform high-precision Pedestrian re-identification

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