Abstract
For the purpose of assisting for the blind to cross a crosswalk alone in safety, this paper presents a method for detecting an endline of a crosswalk and estimating the length of the crosswalk from an input image. First, we extract a region of white lines at a crosswalk by binarizing a grey scale image. And outlines of white lines are detected by using the Hough transformation. Then, we get the direction of their three-dimensional (3-D) vectors from the image information under the perspective projection, and obtain the direction of the road surface normal on the basis of vector analysis. Finally, we estimate the distance between the blind and an endline of a crosswalk. Extensive experiments show the effectiveness of the proposed method for real images of crosswalks.