A cascade network-based vehicle re-identification method and device

Abstract

The present invention provides a cascaded network-based vehicle re-identification method and device, the method comprising: performing feature extraction on a target vehicle image and each candidate vehicle image to obtain image features of the target vehicle image and image features of each candidate vehicle image ; Based on the vehicle type recognition model, feature extraction is performed on the image features of the target vehicle image and the image features of each candidate vehicle image to obtain the target vehicle model features and each candidate vehicle model feature; based on the image features of the target vehicle image and the target vehicle model features , determine the identity features of the target vehicle, and determine the identity features of each candidate vehicle based on the image features of each candidate vehicle image and the model features of each candidate vehicle; determine the target vehicle from each candidate vehicle based on the identity features of the target vehicle and each candidate vehicle , to get the vehicle re-identification result. The invention can further improve the accuracy of vehicle re-identification.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a cascaded network-based vehicle re-identification method and device. Background technique [0002] Given an image of a probed vehicle, the task of vehicle re-identification is to search a database for images containing the same vehicle captured by multiple cameras. Vehicle re-identification has universal applications in video surveillance, intelligent transportation and urban computing, and can quickly find, locate and track target vehicles in large-scale surveillance videos. [0003] At present, the target vehicle image features and multiple candidate vehicle image features are extracted from the target vehicle image to be recognized and the surveillance video image, and then based on the target vehicle image features and each candidate vehicle image feature, the corresponding candidate vehicles are determined. target vehicle. However, when there are multiple candidat...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a cascaded network-based vehicle re-identification method and device to solve the defect of low vehicle identification accuracy in the prior art

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