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

  • Authors:
  • Tadayoshi Shioyama;Haiyuan Wu;Atsushi Iwai

  • Affiliations:
  • Department of Mechanical and System Engineering, Kyoto Institute of Technology, Kyoto, Japan;Department of Computer and Communication Sciences, Wakayama University;Department of Mechanical and System Engineering, Kyoto Institute of Technology, Kyoto, Japan

  • Venue:
  • SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
  • Year:
  • 2003

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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.