Vehicle color identification method based on target identification area interception

Abstract

The invention relates to a vehicle color recognition method based on target recognition area interception, and belongs to the technical field of vehicle color recognition, and the method comprises thesteps: obtaining a picture containing a to-be-detected vehicle; performing target detection on the to-be-detected picture to obtain an image of the to-be-detected vehicle; extracting vehicle window area information of the to-be-tested vehicle to obtain coordinate values of four corners of a front vehicle window; removing a part of detection pictures with too low resolution; intercepting a vehicleengine hood area as a target identification area of the picture by utilizing the colinearity and parallelism of the boundaries of the vehicle window and the vehicle engine hood; carrying out saturation enhancement processing on the extracted vehicle engine hood area image; and performing color recognition on the saturation-enhanced vehicle engine hood image by using the RGB color recognition model and the HSV color recognition model, and outputting a final recognition result. According to the method, the problem that in traditional vehicle color recognition, interference areas such as backgrounds and vehicle windows influence vehicle body color recognition is solved, and the accuracy and robustness of vehicle color recognition are improved.

Description

technical field [0001] The invention relates to a vehicle color recognition method based on target recognition area interception, belonging to the technical field of vehicle color recognition. Background technique [0002] Vehicle color recognition refers to the process of identifying the color information of the vehicle through the pictures captured in the surveillance video. [0003] Vehicle color is an important information in urban traffic. There are currently many methods for identifying vehicle information by recognizing license plates, but due to the small area of ​​the license plate, it is difficult to accurately identify it in the case of poor picture quality. Vehicle color is a kind of vehicle information that is not sensitive to image quality, and judging vehicle color is relatively more universal and operable. Based on the above advantages, vehicle color recognition has been widely used in crime tracking, accident analysis and other fields. [0004] At present...

AI Technical Summary

Problems solved by technology

[0005] (1) When recognizing the color of a vehicle, it is often affected by a series of invalid areas such as the background environment, car windows, tires, etc., resulting in a decrease in recognition accuracy;

[0006] (2) The same camera may have deviations in the imaging of the same vehicle under different angles, different lighting, and different weather conditions, and the imaging effect of the camera will affect the accuracy of recognition

This patent uses a vehicle color recognition method based on the window removal mask, that is, the recognition target area is obtained by masking the window area, and the processing complexity is relatively large

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