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Bayonet vehicle image identification method based on image features

An image feature and image recognition technology, which is applied in the field of bayonet vehicle image recognition based on image features, can solve the problem of high computational complexity, and achieve the effects of high recognition accuracy, fine classification and improved accuracy.

Inactive Publication Date: 2013-06-12
SUN YAT SEN UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the former, different vehicle images may correspond to the same distribution features; for the latter, represented by SIFT, SURF, and PCA-SIFT, the computational complexity is high

Method used

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  • Bayonet vehicle image identification method based on image features
  • Bayonet vehicle image identification method based on image features
  • Bayonet vehicle image identification method based on image features

Examples

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Comparison scheme
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Embodiment 1

[0060] Such as figure 1 Shown is a flow chart of a specific embodiment of a bayonet vehicle image recognition method based on image features in the present invention. Referring to example 1, the specific steps of a kind of image feature-based bayonet vehicle image recognition method of this specific embodiment include:

[0061] Step S100: Establish template database:

[0062] Step S101: Store template images of vehicles of different styles and colors captured in the template database, and store vehicle attribute data and body color data corresponding to each template image in the template database, wherein the vehicle attribute data may include vehicle brand and vehicle model and the model year of the vehicle; e.g. figure 2 Shown are two template images of "Toyota, Corolla, ninth generation";

[0063] Step S102: Perform data processing on each template image in the template database, obtain vehicle SIFT feature data and store it in the template database, wherein the SIFT f...

Embodiment 2

[0100] Such as Figure 7 Shown is a flow chart of a preferred embodiment of a bayonet vehicle image recognition method based on image features in the present invention. see Figure 7 , the specific steps of this preferred embodiment are as follows:

[0101] Establish a template database: pre-store template images of different models and styles of vehicles in the template database, and store the vehicle attribute data, body color, and SIFT feature data of the template images in the template database correspondingly; wherein for each template image, its first Delimit the area where the license plate is located, and delete the SIFT feature information of each template image located in the license plate area;

[0102] When it is necessary to perform vehicle recognition on the image to be recognized, first perform color recognition on the image to be recognized, and simultaneously calculate the SIFT feature of the image to be recognized;

[0103] Input the image to be recognized...

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Abstract

The invention relates to the field of traffic image processing, in particular to a bayonet vehicle image identification method based on image features. The steps of bayonet vehicle image recognition method based on the image features includes that a template dada bank is established, the data bank stores template images which are shot with different style and different color vehicles, vehicle attribute data, vehicle body color data and vehicle scale invariant feature transform (SIFT) feature data are stored corresponding to each template image, wherein the SIFT feature data are obtained through data processing; vehicle recognition is conducted to to-be-identified images, color identification is conducted to the to-be-identified images, the template images which are fitted with the vehicle body colors are selected form the template data bank according to color identification results; the to-be-identified images are extracted the SIFT features and compared with the selected template images; the template images which are matched with the to-be-identified images are obtained; the vehicle attribute data are output, wherein the vehicle attribute data correspond to the matched template images. The bayonet vehicle image identification method based on the image features combines the vehicle color identification and the recognition based on a SIFT operator principle. Color information is added in the identification process. The defect that the SIFT operator discard the color information is overcome. Identification accuracy can be improved.

Description

technical field [0001] The present invention relates to the field of traffic image processing, and more specifically, to a method for recognizing a bayonet vehicle image based on image features. Background technique [0002] Vehicle Recognition System (VRS) is an important part of intelligent transportation system. The generalized vehicle identification system refers to the identification of the license plate, color, manufacturer, model, special marking and other information of the vehicle. However, the currently applied vehicle identification systems basically only realize the identification of vehicles through license plate recognition, and are mainly used for speed measurement in intervals and management of entrances and exits of expressways and parking lots. Although the license plate is the only legal identification of a vehicle, the license plate recognition technology based on image processing has problems such as low accuracy and limited use conditions in applicatio...

Claims

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Application Information

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IPC IPC(8): G08G1/017G06K9/00
Inventor 李熙莹江倩殷龚峻峰罗东华陈玲
Owner SUN YAT SEN UNIV
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