Truck re-identification retrieval method based on multi-branch feature fusion

Abstract

The invention discloses a truck re-identification retrieval method based on multi-branch feature fusion, and the method specifically comprises the steps: collecting different types of truck pictures, and dividing the truck pictures into a training set and a test set; preprocessing the picture space and size of the training set, and standardizing the pictures; establishing a deep convolutional neural network structure, and training by using the loss function and the training set to obtain a network model; and according to the obtained network model, testing by using a test set, and retrieving a plurality of most similar pictures by calculating a similarity matrix of the pictures. According to the invention, the local features of the head and the compartment of the truck photo and the global features of the truck are obtained through the multi-branch feature extraction network, and then feature fusion is carried out to obtain overall feature representation. Therefore, the problems of license plate counterfeiting, removal, shielding and the like caused by difficulty in retrieval due to small truck difference in a real scene are solved. The accuracy of truck retrieval is improved. The situation that similar vehicles of the same series are difficult to distinguish is avoided.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a truck re-identification retrieval method based on multi-branch feature fusion. Background technique [0002] In intelligent transportation and smart cities, especially in the absence of satellite positioning and license plates, vehicle re-identification technology plays an important role in traffic control. In recent years, vehicle re-identification technology has made great progress. Many existing vehicle datasets are used for vehicle recognition tasks. However, these data focus on cars and commercial vehicles, with less attention paid to vans. Driven by e-commerce, the logistics and freight industries have also developed by leaps and bounds. In order to meet the growing transportation demand, trucks, as a commonly used heavy-duty special transportation vehicle, will become the main force of future road transportation forces due to their high speed, high safety an...

AI Technical Summary

Problems solved by technology

There is also the fact that the loading status of the goods loaded in the open compartment is different under different cameras

Significant differences between two camera images pose a challenge for vehicle re-identification

Images