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

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...

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 easy to detect moving vehicles, so as to locate and identify them; however, it is not suitable for static pictures. With these traditional approaches, it is seeking to detect and recognize vehicles in static images

Images