A pedestrian re-identification method and system

Abstract

The invention provides a pedestrian re-identification method and system, and the method comprises the steps: obtaining a plurality of pedestrian images, building a sample data set: carrying out the training of the sample data set, building a pedestrian feature extraction network; carrying out feature extraction preprocessing on the pedestrian image by adopting the pedestrian feature extraction network to obtain a first feature map with multiple feature channels, carrying out partition processing on the first feature map to obtain a second feature map, carrying out feature extraction on the second feature map to obtain standard feature parameters; obtaining a to-be-detected pedestrian image; extracting features of the to-be-detected pedestrian image to obtain feature parameters of the to-be-detected pedestrian image; calculating the similarity between the characteristic parameters of the to-be-detected pedestrian image and the standard characteristic parameters to obtain similarity parameters; and completing pedestrian re-identification according to the similarity parameters. Therefore, the features extracted by the weighted partition feature extraction mode are more discriminative,so that the discrimination capability of the depth model is improved.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a method and system for pedestrian re-identification. Background technique [0002] In recent years, as people pay more and more attention to the public safety of the society, video surveillance systems have become popular. Public places such as airports, railway stations, campuses and office buildings are in urgent need of monitoring to protect security. In the face of massive surveillance video data, a large amount of manpower needs to be invested in the monitoring and retrieval of video information. This method is not only inefficient, but also causes additional waste of resources. If computer vision analysis technology can be used to automate monitoring and analysis of video information, the construction of a "safe city" will definitely be greatly accelerated. [0003] Person re-identification is a key task in computer vision research. Generally speaking, given...

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Problems solved by technology

[0005] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a pedestrian re-identification method and system to solve the problem of insufficient recognition accuracy in the prior art

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