Method of Pedestrian Detection ahead of Vehicle Based on Edge Symmetry
Tianhong Yu · Computer Communications · 2007
A pedestrian detection method based on edge symmetry according to the abundant features of optical sensors was put forward.Firstly,the area of interest(AOI) ahead of vehicle was determined by using Sobel operator and Hough transform.Secondly,as pedestrian legs had prominent vertical edge symmetry,the paper managed to figure out the column,which had the most prominent edge symmetry through vertical edge extraction in the AOI.Combined with pedestrian shape features,the candidate pedestrian could be locked.Thirdly,the candidate pedestrian was validated based on the gray symmetry and local entropy.The experiment results show that the algorithm is effective,reliable and robust.