Detection of Vehicles Using Gabor Filters and Affine Moment Invariants from an Image

  • Tadayoshi Shioyama
  • Haiyuan Wu
  • Atsushi Iwai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

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.

Keywords

Candidate Region Grayscale Image Gabor Filter Detection Window Moment Invariant 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Tadayoshi Shioyama
    • 1
  • Haiyuan Wu
    • 2
  • Atsushi Iwai
    • 1
  1. 1.Department of Mechanical and System EngineeringKyoto Institute of TechnologyKyotoJapan
  2. 2.Department of Computer and Communication SciencesWakayama UniversityWakayama

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