Method and system for detecting and recognizing feature of vehicle in static image

A technology of static pictures and vehicle features, applied in the field of vehicle image recognition

Inactive Publication Date: 2013-09-11
北京明日时尚信息技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing vehicle feature detection and recognition technology is mainly used in video, such as intelligent traffic monitoring, through the multi-frame information of the video, it is relatively ea...

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  • Method and system for detecting and recognizing feature of vehicle in static image
  • Method and system for detecting and recognizing feature of vehicle in static image
  • Method and system for detecting and recognizing feature of vehicle in static image

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Embodiment Construction

[0031] The implementation of the present invention will be described in detail below in conjunction with the accompanying drawings and examples, so as to fully understand and implement the process of how to apply technical means to solve technical problems and achieve technical effects in the present invention.

[0032] The existing vehicle detection methods only model the front of the vehicle. When the vehicle in the picture is presented from the side or the back, it is very likely that the vehicle cannot be detected. Building a model from the side will increase the amount of calculation, but it cannot avoid the occlusion problem well. However, the method in the present invention is to establish models (root models) for the front / rear and sides of the vehicle respectively, and divide each model into different components, and establish models for each component and its corresponding deformation (component model and deformable component model). ), and finally merged into one mo...

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Abstract

The invention belongs to the field of recognizing types of vehicles through computer image processing, and relates to a method and system for detecting and recognizing a feature and a brand of a vehicle in a static image by means of a digital picture processing technique. A method for detecting the vehicle in the static image is combined with a vehicle logo detecting method which is based on an AdaBoost framework in the method. The method and system for detecting and recognizing the feature of the vehicle in the static images comprises a training part and a detecting part. The training part includes the following steps of manufacturing a vehicle logo sample, collecting an image containing the vehicle logo from the Internet, positioning the vehicle logo, and extracting the vehicle logo image based on position information; calculating a sample feature, constructing 5 different rectangular features with each rectangular feature corresponding to one Haar feature; training a cascade classifier, inputting the training sample acquired from the last step and conducting training, and finally connecting strong classifiers and multiple corresponding weak classifiers obtained in training in series. The detecting part includes the following steps: loading the image to be detected, converting the image into a grey-scale image and conducting histogram equalization, loading the vehicle logo classifiers which include threshold values of the strong classifiers and the weak classifiers and rectangular feature information corresponding to the selected features, conducting cascade vehicle logo detection with the detected image firstly passing the detection of the former strong classifiers. If the detected image is not the vehicle logo image, the detected image can be excluded at the front end, and only the vehicle logo can finally pass the detection of the strong classifiers at various different levels.

Description

technical field [0001] The invention relates to a method and system for detecting and identifying vehicle features in static pictures, which belongs to the field of vehicle image recognition, and specifically performs vehicle appearance feature detection and vehicle brand identification in static pictures. Background technique [0002] With the development of electronic imaging technology and the Internet, the ways for people to create, share and obtain pictures are becoming more and more convenient and diverse. As a result, more and more pictures appear on the Internet. In addition to describing these pictures in words, computers do not Know the content of the picture, such as whether there is a vehicle in a certain picture, what characteristics the vehicle in the picture has, and what brand it is. Usually, these can only be known through human inspection and judgment. [0003] The traditional method of annotating image content in the form of keywords cannot be well matched...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 胡楠邹国平朱建明
Owner 北京明日时尚信息技术有限公司
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