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Vehicle brand type identification method based on fusion feature sparse coding model

A technology of sparse coding and feature fusion, which is applied in the research field of vehicle brand classification methods, can solve the problem of single feature extraction by recognition methods

Inactive Publication Date: 2016-09-07
SOUTHEAST UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to solve the shortcomings of single feature extraction in existing identification methods, and provide a vehicle brand type identification method based on fusion feature sparse coding model

Method used

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  • Vehicle brand type identification method based on fusion feature sparse coding model
  • Vehicle brand type identification method based on fusion feature sparse coding model
  • Vehicle brand type identification method based on fusion feature sparse coding model

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Embodiment Construction

[0047] Below in conjunction with specific implementation scheme, this technical scheme is further described:

[0048] A vehicle brand type recognition method based on a fusion feature sparse coding model, comprising the following steps:

[0049] Step 1: Use the template matching method to detect the position of the license plate, extract the coordinates of the license plate, extract the car face picture according to the relative relationship between the license plate and the car face, and then perform related preprocessing work on the extracted car face picture, including histogram equalization , size normalization, etc., normalize the car face image data to 512×256;

[0050] Step 2: Construct the fusion feature by selecting the multi-feature superposition extraction method, that is, convert the first-level feature vector extracted from the two-dimensional image, and construct a reasonable dictionary as the data input of the sparse representation to perform sparse coding of th...

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Abstract

The invention discloses a vehicle brand type identification method based on a fusion feature sparse coding model. The method comprises the following steps: 1) carrying out locating extraction on a front face region of a vehicle and pretreatment on a front face image of the vehicle; 2) extracting vehicle front face features and constructing a fusion feature; 3) constructing the sparse coding model based on the fusion feature; 4) constructing a non-negativity constraint sparse coding model; and 5) carrying out vehicle brand type identification through a reconstruction error minimum method. Classification of different vehicle brands is realized by effectively extracting the features of the front face of the vehicle; and the method is used for automatically extracting vehicle brand information in shot traffic gate videos and carrying out classification, thereby realizing intelligent management of gate video data.

Description

technical field [0001] The invention patent relates to the field of intelligent transportation research, mainly the research on vehicle brand classification methods. Background technique [0002] There is a wide range of application requirements for the intelligent identification system of vehicle brands, such as investigations by public security and traffic police departments, statistical investigations, parking lots, and vehicle management in residential quarters. The vehicle recognition method based on computer vision is a typical application research of pattern recognition in the field of intelligent transportation of people-vehicle-road-environment. Real-time intelligent efficiency can greatly liberate vehicle management personnel from the boring and complicated manual identification work, saving a lot of cost and human and material resources. The disadvantage is that how to quickly and effectively extract reliable features to describe vehicle brands and accurately ide...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/54G06K9/46G06K9/62
CPCG06V20/40G06V20/584G06V10/40G06V10/20G06V2201/08G06F18/24
Inventor 赵池航陈爱伟张小琴
Owner SOUTHEAST UNIV
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