A hybrid Hough-Hausdorff method for recognizing bicycles in natural scenes

This paper presents research on a new computer vision approach to an intelligent transportation system domain: bicycle counting. Traditionally, bicycles have not received the attention of transportation departments for a variety of reasons. As a result, effective and portable automatic methods for counting bicycles have not been developed. This paper presents a method for identifying bicycles in natural scenes taken from either time-lapse or full-motion video streams. The method is based on a blend of two separate techniques, the Hough transform and the directed Hausdorff distance. Experimental results demonstrate that neither technique individually achieves the performance of the hybrid technique