A vehicle identification method and system for searching images by images

Abstract

The invention discloses a vehicle identification method and a vehicle identification system for searching images by images. The method comprises the following steps of obtaining a to-be-retrieved image; identifying a vehicle in the to-be-retrieved picture to obtain macroscopic feature information of the vehicle, the macroscopic feature information comprising a vehicle position, a shape and a size;according to the macroscopic feature information of the vehicle, narrowing the recognition range in the to-be-retrieved picture, analyzing the to-be-retrieved picture to obtain multi-dimensional feature information, the multi-dimensional feature information comprising visual word bag features and vehicle depth features; performing deep feature fusion on the multi-dimensional feature information to obtain global features; and obtaining similar images in the image library through the feature index according to the global features, and sorting the similar images according to the image similarityto obtain a retrieval result. According to the method and the system, a plurality of feature fusion and deep neural network methods are used, so that the vehicle searching precision is effectively improved. Through distributed vehicle retrieval, the search performance of mass data is effectively improved.

Description

technical field [0001] The present invention relates to the field of image recognition, and more specifically, to a vehicle recognition method and system for searching images by images. Background technique [0002] With the continuous acceleration of the development of expressways in our country, the process of legal management of expressways is also constantly improving. However, due to the influence of technical conditions, technical specifications and standards, it is impossible to respond quickly and accurately when dealing with malicious toll evasion behaviors of vehicles. It is impossible to comprehensively and effectively manage and control the expressway toll evasion behavior. Thousands or even tens of thousands of vehicles pass by each expressway intersection every day. It is unrealistic to manually search and analyze expressway toll-evading vehicles. The similar vehicle search by image search and image search receives vehicle images taken by lanes or ramps as inpu...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problems existing in the background technology when vehicle identification is carried out through the existing technology, the search accuracy is poor and the use scene restrictions are many, so that accurate results cannot be obtained. The present invention provides a vehicle identification method and system, the method and the system adopt a combination of vehicle identification and big data analysis, extract vehicle features through machine learning algorithms, and use deep feature fusion methods to perform feature fusion to improve the accuracy of vehicle identification and achieve precision High, fast-response vehicle identification; the described vehicle identification method of searching for pictures with pictures comprises:

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