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Vehicle type recognition algorithm based on S-SIFT features and SVM training device

A car model recognition and trainer technology, applied in the field of computer vision, can solve problems such as inconsistent vehicle entry and exit angles, difficulty in car model recognition, low resolution, etc., to achieve real-time performance, reduced time complexity, and good recognition.

Inactive Publication Date: 2017-03-15
HUNAN VISION SPLEND PHOTOELECTRIC TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In reality, the pictures collected in actual parking lots and communities usually have complex backgrounds, uneven lighting, low resolution, old vehicles, dirty vehicles, etc., and the angles of vehicle entry and exit are usually inconsistent. There have been great difficulties, and there is no suitable method in the prior art that can effectively overcome the above-mentioned technical problems

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  • Vehicle type recognition algorithm based on S-SIFT features and SVM training device
  • Vehicle type recognition algorithm based on S-SIFT features and SVM training device
  • Vehicle type recognition algorithm based on S-SIFT features and SVM training device

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Embodiment Construction

[0037] Now in conjunction with accompanying drawing, the present invention is described in further detail, the specific content of the embodiment of the present invention is a kind of vehicle identification algorithm based on S-SIFT feature and SVM trainer, and this vehicle identification algorithm comprises the following steps:

[0038] S1 license plate positioning;

[0039] S1.1 Training license plate sample feature extraction and feature organization;

[0040] S1.1.1 Manually extract any normal national standard license plate;

[0041] S1.1.2 Carry out integral channel feature extraction on the extracted license plate image;

[0042] The integral channel feature was proposed by Dollár P et al. in 2009. It is usually used for pedestrian detection at the earliest. It is a detection operator with better evaluation effect at present. Transformation, many common features of images, such as local summation, histogram, Haar and their variants, can be calculated quickly and effic...

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Abstract

The invention relates to the field of computer vision, specifically a vehicle type recognition algorithm based on S-SIFT features and an SVM training device. The algorithm comprises the following steps: 1, license plate positioning; 2, cutting a vehicle face region comprising vehicle type information; 3, building a S-SIFT feature model of a vehicle type region image, and carrying out the vehicle type recognition through combining with the SVM training device. The method actually can be embedded in an FPGA for implementation, is used in a camera or a photographing device with a function of real-time image output for vehicle type recognition, can effectively improve the accuracy and reliability of the system, and enables the system to meet the real-time demands.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a car model recognition algorithm based on S-SIFT (sparse scale invariant feature transform) features and an SVM trainer. Background technique [0002] With the rapid development of modern transportation, security and other industries, people pay more and more attention to automatic vehicle identification technology, which is one of the important research topics of computer vision and pattern recognition technology in the field of intelligent transportation in recent years. The automatic identification system of vehicle models can be used for vehicle management in highway toll stations, parking lots, crossroads and other places, and can also be used for vehicle entry and exit management in modern residential areas or industrial parks. It is very important for public safety, community security, road traffic and parking lot vehicle management. have an important role in promoting. ...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06V2201/08G06F18/2411
Inventor 张斯尧刘向
Owner HUNAN VISION SPLEND PHOTOELECTRIC TECH