Pedestrian re-identification method and device based on semi-supervised training mode and medium

Abstract

The invention provides a pedestrian re-identification method and device based on a semi-supervised training mode and a storage medium. The method comprises the following steps: constructing a trainingsample set by using the collected target domain sample set and open source data set based on a semi-supervised training mode; and training a deep residual network by using the training sample set toobtain a trained deep residual network model, identifying the acquired pedestrian images by using the trained deep residual network model to obtain feature values of the pedestrian images, and determining whether the pedestrian images belong to the same person according to cosine distances among the feature values. According to the invention, the virtual sample is generated; a smoothing function is constructed when a virtual sample is generated; and meanwhile, a DBSCAN clustering algorithm is used for adding pseudo tags to the virtual samples, local features and global features are used in thedeep neural network, and a joint loss function of different weight combinations is adopted, so that the trained deep neural network is accurate and more reliable in recognition.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a pedestrian re-identification method, device and storage medium based on a semi-supervised training method. Background technique [0002] With the advancement of society and technology, face recognition has increasingly become a reliable security technology. However, for most of the current cameras, the resolution often cannot meet the requirements of the face recognition system, so the pedestrian re-identification technology that can be applied to the existing monitoring system is extremely necessary. Person re-identification (Person re-identification) is to use image processing technology to determine whether a pedestrian under a certain camera appears in other cameras, so as to describe the pedestrian's activity path and achieve the purpose of cross-camera tracking. At present, the commonly used methods for person re-identification mainly include representati...

AI Technical Summary

Problems solved by technology

[0004] In the current pedestrian re-identification, due to the single feature selection, that is, there are certain limitations in the recognition, which affects the recognition accuracy.

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