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This paper presents real time vehicle counter system for Intelligent Transportation System. A stream of video frames is processed using a sequence of procedures: foreground extraction, object segmentation and labeling, and object classification to differentiate between motor-cycle and car. Foreground extraction utilizing a simple method, background subtraction, and the segmentation utilizing methods...
This paper presents a novel method of car detection by using the Adaboost algorithm, which is enhanced by the quadratic programming for feature extraction. In this paper, car is divided into many relevant features through their appearances in training samples such as wheel and window. We crop features of object in training images and utilize them for the Adaboost training. The results of the Adaboost...
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