Color histogram based vehicle body color identification method

Abstract

The invention provides a color histogram based vehicle body color identification method. The method comprises three main steps of license plate positioning, vehicle body color feature region positioning and vehicle body color identification. The method particularly comprises: firstly, determining a license plate position through a license plate identification technology, and detecting a coarse region of vehicle body color through the height, width and position coordinate information of a license plate; preprocessing the region of the vehicle body color to reduce external environment interferences; further searching the preprocessed coarse region of the vehicle body color to obtain an accurate feature region of the vehicle body color; and converting the feature region into a Lab color space, extracting a color histogram from the Lab space, and performing vehicle body color training and identification by using a nonlinear SVM. The method is capable of intelligently processing traffic vehicle videos and images and automatically identifying the vehicle body color. Compared with other schemes in the same field, the method has very high identification accuracy and is high in robustness in a complicated environment.

Description

technical field [0001] The invention belongs to digital image processing technology, in particular to computer vision recognition technology. Background technique [0002] Therefore, in the intelligent transportation system, while the license plate is recognized, other auxiliary information of the vehicle is also required, such as body color, model, vehicle logo, etc. [0003] At present, there are relatively few studies on body color recognition, and the technology is still immature, and its recognition accuracy is far inferior to that of license plate recognition. The main reasons affecting the recognition rate: [0004] 1. The color of the car body is easily disturbed by external noise such as light, smog, and different weather, resulting in color distortion; [0005] 2. The color of the vehicle is complex and changeable (the body color is rich and colorful, and the color of some vehicles is relatively rare); [0006] 3. It is difficult to segment and locate moving veh...

AI Technical Summary

Problems solved by technology

[0004] 1. The color of the car body is easily disturbed by external noise such as light, smog, and different weather, resulting in color distortion;

[0005] 2. The color of the vehicle is complex and changeable (the body color is rich and colorful, and the color of some vehicles is relatively rare);

[0006] 3. It is difficult to segment and locate moving vehicles (camera positions are different, the main color area is very difficult to locate, and the positioning algorithm is affected by the vehicle model)

This method is very fast, can meet the real-time requirements, and has a high accuracy rate, but this method uses the tail of the car body for color feature extraction, which has great limitations

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