Method and device of vehicle reidentification based on multiple objective function deep learning

Abstract

The present invention discloses a method and device of vehicle reidentification based on multiple objective function deep learning. The method comprises: employing first-class vehicle training data generated based on a vehicle image data set and a preset Softmax objective function to train the preset network parameters in a deep learning network frame, obtaining an optimal depth learning network frame, employing second-class vehicle training data generated based on the vehicle image data and a preset Triplet Loss ternary objective function to train the optimal network parameters in the depth learning network frame, obtaining a target depth learning network frame, and performing reidentification of the vehicle image to be identified according to the target depth learning network frame. Through adoption of the target depth learning network frame, the image features with high robustness and high reliability can be obtained to facilitate vehicle reidentification and effectively satisfy the requirement of the vehicle reidentification in the monitoring video.

Description

technical field [0001] The present invention relates to the field of vehicle identification, in particular to a vehicle re-identification method and device based on multi-objective function deep learning. Background technique [0002] Traffic vehicles, as an important part of traffic surveillance video, have been used to study related issues such as vehicle classification, vehicle detection, and vehicle tracking, but there is still a lack of corresponding research on the issue of vehicle re-identification. Vehicle re-identification refers to identifying the same target vehicle from surveillance videos collected at different times and locations. On a city scale, vehicle re-identification is of great significance for the study of intelligent transportation and smart cities. [0003] There are mainly the following difficulties in the study of vehicle re-identification: [0004] 1) The images and videos collected from the monitoring system are of poor quality, which will cause...

AI Technical Summary

Problems solved by technology

[0007] The main purpose of the present invention is to provide a vehicle re-identification method and device based on multi-objective function deep learning, aiming at solving the technology in the prior art that cannot meet the needs of vehicle re-identification under surveillance video by manually setting image features question

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