Vehicle color recognition method based on area discrimination

A color recognition and area technology, applied in the field of computer vision, can solve problems such as limitations, semantic characteristics, and huge differences in color distribution, and achieve the effects of improving recognition accuracy, processing complex distribution, and improving robustness

Inactive Publication Date: 2017-01-11
安徽水滴科技有限责任公司
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Problems solved by technology

[0004] Although these existing methods have taken into account the complexity of vehicle color distribution, there are also obvious disadvantages: in the first method, due to the huge difference in the color distribution near the license plate of different models, the color near the license plate is directly used as the body color. There is a problem of generalization, and this method is not effective for vehicles without license plates; in the second method, when the color

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  • Vehicle color recognition method based on area discrimination
  • Vehicle color recognition method based on area discrimination
  • Vehicle color recognition method based on area discrimination

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Embodiment Construction

[0022] In order to make the present invention more clear, the specific implementation method of the present invention and the specific details of the present invention will be further introduced below in conjunction with specific data sets.

[0023] Firstly, the composition of the database is introduced. There are 11,652 images in this dataset, and the number of each category is shown in Table 1.

[0024] Form 1 Database Introduction

[0025]

[0026] Among them, the light color system includes the following three colors, white, light gray, and silver. All the images in the database contain only one complete motor vehicle. The models include large and small trucks, large and small passenger cars, off-road vehicles, sedans, hatchbacks, vans, commercial vehicles and other types of motor vehicles, basically covering common type of vehicle.

[0027] (1) Design the window detection and the detector of the reflective part of the body. In this step, the specific design method o...

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Abstract

The invention relates to a vehicle color recognition method based on area discrimination. The detected complete vehicle image is used as input, a deep learning algorithm framework is adopted, and the color type of a vehicle under recognition is outputted through processing of various steps of vehicle color area discrimination, vehicle color feature extraction and vehicle color judgment, wherein vehicle color area discrimination refers that a main clue area, an auxiliary recognition area and an unrelated area of color recognition in the complete vehicle image are discriminated according to the color information quantity, and the vehicle color features are respectively extracted through accurate detection of the areas so as to realize accurate recognition of the vehicle color. The complete vehicle image is divided into the main clue area, the auxiliary recognition area and the unrelated area of color recognition, the unrelated area is eliminated in the recognition process, and the vehicle color is recognized through combination of the features of the main clue area and the auxiliary recognition area so that the accuracy of vehicle color recognition under a complex monitoring scene can be enhanced.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a vehicle color recognition method in an intelligent traffic system. Background technique [0002] In recent years, computer vision technology (Computer Vision) and its applications have achieved great development, which has greatly stimulated the application requirements of visual image processing in intelligent transportation systems. Realizing vehicle color recognition based on vision technology is exactly the presented against this background. [0003] At present, the existing vehicle color recognition methods are mainly divided into the following two categories. The first type is the color recognition method based on the location of the license plate. First, the license plate is detected on the vehicle, and then the color features of the area near the license plate are extracted, and the color classifier is used for judgment. The second method is to randomly sample the vehic...

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Application Information

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IPC IPC(8): G06K9/32G06K9/46G06K9/62
CPCG06V10/24G06V10/56G06V2201/08G06F18/2414G06F18/2411
Inventor 康乾道
Owner 安徽水滴科技有限责任公司
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