The study of the detection of pedestrian and bicycle using image processing

Besides vehicle both pedestrian and bicycle are two primary components in urban traffic flow. Video object tracking is an important method of information detection in ITS. This system implements an approach for detecting pedestrians and bicycles in urban traffic scenes by means of feature-based reason on visual data. In the video traffic monitoring system, matching method is often used to find the position of the moving object in the image sequence. This paper tried to propose an improved algorithm of corner feature extraction, an algorithm of position matching using motion matching and a method for traffic object classification. Experiment results were followed for verification.