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Vehicle type identification method and device

A vehicle type and identification method technology, applied in the field of vehicle type identification methods and devices, can solve problems such as large amount of calculation and cumbersome steps, and achieve the effect of reducing calculation steps and calculation amount, and improving vehicle type identification rate.

Pending Publication Date: 2020-01-14
CHENGDU TOPPLUSVISION TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional method has cumbersome steps and a large amount of calculation, which cannot meet the application scenarios that need to quickly identify the type of vehicle

Method used

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  • Vehicle type identification method and device
  • Vehicle type identification method and device
  • Vehicle type identification method and device

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Embodiment Construction

[0054] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0055] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art w...

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Abstract

The invention provides a vehicle type identification method and device. The vehicle type identification method includes: obtaining the overall vehicle picture, and segmenting the vehicle to obtain thelocal pictures of the multiple different parts; splicing the local pictures of the different parts of the vehicle into a large picture according to the positions corresponding to the different parts;and sending the spliced large graph into a neural network model to extract features, and classifying vehicles according to the extracted features. According to the vehicle type identification methodand device provided by the invention, the vehicle type identification rate at different shooting angles is improved; compared with the prior art that the global image features and the local image features of the vehicle are respectively extracted through a plurality of convolutional networks and then fused, the calculation steps and the calculation amount are reduced.

Description

technical field [0001] The present application relates to the field of image recognition, in particular, to a vehicle type recognition method and device. Background technique [0002] At present, the identification of vehicle types is mainly aimed at pictures of a specific angle of the vehicle. If the angle changes, the recognition accuracy drops sharply. At the same time, to identify the type of vehicle, the traditional method is to design multiple convolutional networks, one convolutional network extracts global image features, other networks extract local image features, and then fuses global image features and local image features. The traditional method has cumbersome steps and a large amount of calculation, which cannot meet the application scenarios that need to quickly identify the type of vehicle. Contents of the invention [0003] In order to overcome the above-mentioned deficiencies in the prior art, the purpose of this application is to provide a vehicle type...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T7/11G06K9/46G06N3/04G06N3/08
CPCG06T7/11G06T3/4038G06N3/08G06T2200/32G06V10/462G06V10/44G06N3/045
Inventor 张顺丰陈志超毛河朱彬
Owner CHENGDU TOPPLUSVISION TECH CO LTD
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