Deep learning based vehicle color identifying method and device

A deep learning and vehicle technology, which is applied in the field of vehicle color recognition based on deep learning, can solve the problems of low vehicle color recognition accuracy and parameter redundancy, and achieve the effects of improving accuracy, eliminating overfitting, and simplifying structural parameters.

Active Publication Date: 2017-08-18
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] Aiming at the problems of low accuracy rate, parameter redundancy and overfitt...

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  • Deep learning based vehicle color identifying method and device
  • Deep learning based vehicle color identifying method and device
  • Deep learning based vehicle color identifying method and device

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Embodiment Construction

[0038] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be further clearly, completely and detailedly described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0039] Based on the above purpose, the first aspect of the embodiments of the present invention proposes a first embodiment of a vehicle color recognition method based on deep learning for different users or different types of nodes. figure 1 Shown is a schematic flow chart of the first embodiment of the deep learning-based vehicle color recognition method provided ...

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Abstract

The invention discloses a deep learning based vehicle color identifying method and device. The method includes that vehicle pictures are input as test samples and training samples for pre-treatment; training a convolution neural network by using the training samples and extracting deep layer color characteristics; using a deep layer color characteristic training classifier to identify vehicle colors of the test samples. By adopting the method and device provided by the invention, vehicle color identifying accuracy is improved, structural parameters are simplified and overfitting is eliminated.

Description

technical field [0001] The present invention relates to the field of machine learning, in particular, to a vehicle color recognition method and device based on deep learning. Background technique [0002] Traffic order management is an important part of road traffic management. With the rapid increase in the number of motor vehicles and drivers, and the drivers' legal safety awareness is generally low, there are more and more risks and uncertainties affecting road traffic safety. Continuously emerging, traffic police, public security and other fields are facing severe challenges and situations, increasing the difficulty of road traffic order management. The license plate has long been one of the core research objects in the field of intelligent transportation systems. In the face of partial occlusion, viewing angle changes, noise, blurring and other conditions, the license plate is not always completely visible. In contrast, the color of the car body occupies the main part ...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/56G06F18/2411
Inventor 马华东傅慧源王高亚
Owner BEIJING UNIV OF POSTS & TELECOMM
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