Detection of vehicles using gabor filters and affine moment invariants from an image

Abstract

This paper proposes a new algorithm for detecting vehicles from an image. An image is at the first segmented into regions by using not only color information but also Gabor transformation of grayscale image. Second, candidate regions corresponding to a vehicle are extracted using affine moment invariants. Third, a true region for a vehicle is selected from candidate regions using normalized cumulative histogram of grayscale in a window which is set for a candidate region of interest, and from the selected region the area of a vehicle is detected. © Springer-Verlag; 2003.