Automatic vehicle body color recognition method of intelligent vehicle monitoring system

Abstract

The invention discloses an automatic vehicle body color recognition method of an intelligent vehicle monitoring system. The method comprises the following steps: firstly detecting a feature region on the behalf of a vehicle body color according to the position of a plate number and the textural features of the vehicle body; then, carrying out color space conversion and vector space quantization synthesis on pixels of the vehicle body feature region, and extracting normalization features of an obscure histogram Bin from the quantized vector space; carrying feature dimension reduction on the acquired high-dimension features by adopting an LDA (Linear Discriminant Analysis) method; carrying out various subspace analysis on the vehicle body color, then carrying out vehicle body color recognition of the subspaces by utilizing the recognition parameters of an offline training classifier, and adopting a multi-feature template matching or SVM (Space Vector Modulation) method; and finally, correcting color with easy intersection and low reliability according to the initial recognition reliability and color priori knowledge, so as to obtain the final vehicle body recognition result. The automatic vehicle body color recognition method is applicable to conditions of daylight, night and sunshine and is fast in recognition speed and high in recognition accuracy.

Description

technical field [0001] The invention relates to pattern recognition and image processing technology, in particular to a recognition method based on vehicle still image or video stream representing body color. Background technique [0002] With the rapid development of the social economy, the rapid development of road traffic, the sharp increase in the number of vehicles and traffic trips, in order to solve many problems caused by the rapid development of ground traffic, the intelligent transportation system (ITS) plays an important role, and in the intelligent In the intelligent monitoring technology in the traffic field, the automatic license plate recognition technology is the core. After years of research and development, its technology has gradually matured and has been well applied in various applications of traffic management. For example, automatic toll collection, non-parking toll collection, stolen vehicle tracking, etc. [0003] However, with the increasing number...

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Problems solved by technology

[0008] The above-mentioned body color recognition method can achieve better results for cars with a single body color in a certain lighting environment, but for some large trucks and trucks, they are usually affected by the front or rear radiators and exhaust fans. When the area is not accurate enough (the detected area contains other non-body colors) and interference occurs, its reliability is poor and the recognition accuracy is low; in addition, at night, the light of the body part in the vehicle image is dark and uneven, even if there is Under the condition of flashing lights, the error of body color recognition is relatively large, and the above-mentioned method has not yet solved the problem of reliable recognition of vehicle image color at night.

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