Multi-task deep convolutional neural network-based vehicle color identification system

Abstract

The invention discloses a multi-task deep convolutional neural network-based vehicle color identification system. The system comprises a high-definition camera mounted above lanes on a road, a trafficcloud server and a vehicle color visual detection subsystem; the vehicle color visual detection subsystem comprises a vehicle locating detection module, a license plate locating detection module, a license plate background color identification module, a color difference calculation module, a vehicle color correction module and a vehicle color identification module; the vehicle locating detectionmodule, the license plate locating detection module and the vehicle color identification module share a same Faster R-CNN deep convolutional neural network; by adopting the deep convolutional neural network, vehicles on the road are quickly segmented; license plates on the road are quickly segmented by further adopting the deep convolutional neural network through using vehicle images; and space position information of the vehicles and the license plates in a road image is given. The multi-task deep convolutional neural network-based vehicle color identification system provided by the invention is relatively high in detection precision and relatively high in robustness.

Description

technical field [0001] The invention relates to the application of artificial intelligence, digital image processing, convolutional neural network and computer vision in vehicle color recognition, and belongs to the field of intelligent transportation. Background technique [0002] Color is an important exterior feature of a vehicle. In the real world, due to the influence of many uncertain factors such as the color temperature of the light source, the intensity of the light, the shooting angle, and the setting of the camera, the vehicle color will have a certain degree of color cast compared with the ideal condition; the existing The disclosed vehicle color recognition method is very sensitive to the change of vehicle posture and the change of the lighting environment where the vehicle is located. vehicle color. [0003] The Chinese patent application with application number 200810041097.5 "Positioning Method of Characteristic Region, Method of Recognition of Vehicle Body...

AI Technical Summary

Problems solved by technology

[0021] In order to overcome the shortcomings of low detection accuracy and low detection robustness of existing vehicle color visual detection methods, the present invention provides a multi-task deep convolutional neural network with high detection accuracy and high robustness in the vehicle Color Vision Inspection System

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