6538

6538

شناسايي مدل خودرو با استفاده از تكنيك هاي پردازش تصوير

كارشناسي ارشد

كامپيوتر - هوش مصنوعي

آبان 87

آبان 87

دكتر فتحي

Abstract In recent years Intelligent Transportation Systems (ITS) have become an important research area and this is because of importance of their applications in real world problems. ITS is the application that incorporates electronic, computer, and communication technologies into vehicles and roadways for monitoring traffic conditions, reducing congestion, enhancing mobility, and so on. One of the problems in ITS, is recognizing of car models. Vehicle type recognition, if solved accurately, is beneficial for authentications checking, police camera control systems on crossings to match the number-plate against the car make and tracking the special car. The proposed methods will provide valuable situational information for law enforcement units in a variety of civil infrastructures. Various researches have been done on license plate recognition (LPR) systems but make and model recognition (MMR) is an unexplored problem. By unification of LPR and MMR systems valuable and useful information can be mined. Proposed algorithm begins with detecting cars in the image, and then regions of interests are localized for feature extraction. After the extraction of valuable features that are different in various models of vehicle, vehicle’s model in the input image is determined using a classifier. Image dataset used for training and test includes 290 images from side and back view of various vehicle models in RGB color map. Experimental results show that the features which are used for car model recognition in our method are highly effective. Ensemble of classifiers in which each classifier classifies cars based on different features is also used. Results also confirm our prediction that ensemble of classifiers is more powerful in car model recognition. the average recognition rate of our proposed system is 96.2% for images in our test set which contain most of car models in Iran. Key Words Vehicle Detection, License Plate Localization, Vehicle Make and Model Recognition, Computer Vision, Intelligent Transportation System