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A Fine-grained Vehicle Vehicle Detection and Recognition Method Based on Data Balance Strategy and Dense Attention Network

A vehicle detection and dense network technology, applied in character and pattern recognition, biological neural network models, traffic control systems for road vehicles, etc., can solve the problems of difficult recognition, slow research progress, and high similarity of fine-grained vehicle models. Improve the accuracy and recall rate, improve the effect, and improve the effect of detection ability

Active Publication Date: 2021-10-29
FUZHOU UNIV
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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

Method used

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  • A Fine-grained Vehicle Vehicle Detection and Recognition Method Based on Data Balance Strategy and Dense 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 car model detection and recognition method based on a data equalization strategy and a dense attention network. First, a car model data set is obtained, and the obtained car model data set is marked to prepare for training a car model detection and recognition model; then Use the data equalization strategy to perform data equalization processing on the collected car model data sets; then use the car model data sets after data equalization processing to train the dense attention network; finally input an image to be detected into the trained dense attention network, use The trained dense attention network detects and recognizes 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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Patent Type & Authority Patents(China)
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 UNIV
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