Color identification method and apparatus for vehicle

Abstract

Embodiments of the invention disclose a color identification method and apparatus for a vehicle. The method comprises the steps of obtaining a vehicle image of the vehicle; identifying license plate information in the vehicle image, wherein the license plate information comprises the length, width and position of a license plate; determining a vehicle head region and a vehicle head image of the vehicle head region according to the license plate information; converting the vehicle head image into an image in a YUV format to obtain a vehicle head YUV image; extracting Y component data, U component data and V component data from the vehicle head YUV image, and performing recombination to obtain a vehicle head YUYV image with a preset size; inputting the vehicle head YUYV image to a convolutional neural network model trained based on the YUYV image; and determining a color of a vehicle head of the vehicle according to an output result of the convolutional neural network model. An embodiment of the invention provides a deep learning-based vehicle color identification method.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a color recognition method and device for vehicles. Background technique [0002] In the prior art, at present, the color recognition of vehicles is mainly carried out by comparing the distribution of color components counted by statistical methods. The advantage of this method is that the recognition speed is fast, but the disadvantage is that the recognition rate is not high and it is easily affected by the environment. Used for pre-identification or coarse classification. Another method is to use the traditional pattern learning method to classify the color of the car through the color feature model of the training sample. The training efficiency of this method is not high. Contents of the invention [0003] Embodiments of the present application provide a vehicle color recognition method and device, and provide a vehicle color recognition method based on deep learning. [...

AI Technical Summary

Problems solved by technology

[0002] In the prior art, at present, the color recognition of vehicles is mainly carried out by comparing the distribution of color components counted by statistical methods. The advantage of this method is that the recognition speed is fast, but the disadvantage is that the recognition rate is not high and it is easily affected by the environment. For pre-identification or coarse classification

Another method is to use the traditional pattern learning method to classify the color of the car through the color feature model of the training sample. The training efficiency of this method is not high.

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