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Fine-grained vehicle model detection and identification method based on data equilibrium strategy and intensive attention network

A technology for vehicle detection and identification methods, which is applied in character and pattern recognition, biological neural network models, and traffic control systems for road vehicles. , to achieve the effect of efficient labeling, improving accuracy and recall rate, and improving effect

Active Publication Date: 2018-11-16
FUZHOU UNIVERSITY
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] Vehicle type detection and recognition play an important role in production and life, but its research progress is slow. The reasons can be attributed to two points: the lack of vehicle type data sets and the high similarity of fine-grained vehicle types, and the difficulty of recognition

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  • Fine-grained vehicle model detection and identification method based on data equilibrium strategy and intensive attention network

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0044] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0045] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinatio...

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Abstract

The present invention relates to a fine-grained vehicle model detection and identification method based on a data equilibrium strategy and an intensive attention network. The method comprises the steps of: obtaining a vehicle model data set, marking the obtained vehicle model data set, and getting ready for training vehicle model detection and identification of the model; employing the data equilibrium strategy to perform data equilibrium processing of the collected vehicle model data set; employing the vehicle model data set after data equilibrium processing to train the intensive attention network; and finally, input an image to be detected into a trained intensive attention network, and employing the trained intensive attention network to perform detection and identification of the image to be detected.

Description

technical field [0001] The invention relates to the field of pattern recognition and computer vision, in particular to a fine-grained vehicle detection and recognition method based on a data equalization strategy and a dense attention network. Background technique [0002] Intelligent transportation is a kind of real-time, accurate and efficient system that plays a role in a wide range and in all directions by using advanced computer intelligence technology, information technology, automatic control technology, etc. to effectively integrate and apply to the entire ground traffic management system. Integrated transportation management system. Intelligent transportation is an indispensable part of smart cities and the primary development direction of the future transportation system. From license plate recognition to the current very popular assisted driving and automatic driving, all of them play an increasingly important role in our work, production and life. character of. ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G08G1/017
CPCG08G1/017G06V20/54G06V2201/08G06N3/045G06F18/214
Inventor 柯逍张毓峰黄志华
Owner FUZHOU UNIVERSITY
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