Identification and feature extraction of moving vehicle

The traffic user has been rapidly increasing these days and due to this, serious congestions at certain locations and time occurs in particular at toll payment gateway. As such has becoming an important matter for the management of traffic controller to establish an automatic monitoring system which can provide data for analysis and manipulation by management team before an important decision on traffic management can be made. In this project, an identification and feature extraction of moving vehicle is proposed. In order to do this, it is essential to develop a system that can identify and extract the features of a moving vehicle. The objective of this project is to identify and extract the features of a moving vehicle by using MATLAB. The methodology of the system starts from importing a digital video image in AVI format, the black and white image is later go through thresholding level setting to extract feature and classification of vehicle. As a conclusion, upon completion of the program, it was successfully produce the result as expected where the moving vehicle can be identified, the feature can be extracted and classified either it is a car or a lorry during live video streaming.