Vehicle feature location and matching method based on multiple visual information

Abstract

The invention provides a vehicle characteristic positioning and matching method based on multiple-visual information. The method comprises the following steps: S01) according to a word height ratio in a license plate, establishing a primary area of a test vehicle image characteristic; S2) according to color texture information, establishing the second positioning of the test vehicle image characteristic; S03) according to local characteristic matching, establishing the final positioning of the test vehicle image characteristic, extracting local characteristic operators in a main vehicle image characteristic area and a second positioning area of the test vehicle image characteristic to finish nearest neighbor matching, establishing space geometry restriction among matching points, deleting the wrong matching, and finishing the final positioning of the test vehicle image characteristic; and S04) combining local characteristic similarity and global directed gradient histogram characteristic similarity to obtain the characteristic similarity of a main vehicle and a test vehicle. Vehicle characteristics can be accurately positioned and matched, and technical support can be provided for public security departments to capture suspected vehicles through an information technology.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a vehicle feature location and matching method based on multiple visual information. Background technique [0002] With the development of artificial intelligence, automatic control and pattern recognition and other fields, the information-based electronic monitoring system of the public security transportation department came into being and achieved great development. However, at present, the identification of suspected vehicles mainly relies on manual investigation, which is time-consuming, laborious and ineffective. [0003] By framing the characteristics of a certain area of ​​the suspect vehicle in the image of the suspect owner's car, and continuously locating and matching the feature in the bayonet image through image analysis technology is an effective means for automatic suspect vehicle identification, but due to the singleness of the sample and the actual dete...

AI Technical Summary

Problems solved by technology

However, at present, the identification of suspected vehicles mainly relies on manual investigation, which is time-consuming and laborious, and the effect is not good.

[0003] By framing the characteristics of a certain area of ​​the suspect vehicle in the image of the suspect owner's car, and continuously locating and matching the feature in the bayonet image through image analysis technology is an effective means for automatic suspect vehicle identification, but due to the singleness of the sample and the actual detection environment The variability of the traditional visual analysis-based algorithm is difficult to complete high-precision discrimination

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