본문 바로가기
  • Home

Vehicle Detection Method Using Convolution M0atching Based on 8 Oriented Color Expression

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(12), pp.63-73
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

한성지 1 Youngjun Han 1 한헌수 1

1숭실대학교

Accredited

ABSTRACT

This paper presents a vehicle detection method that uses convolution matching method based on a simple color information. An input image is expressed as 8 oriented color expression(Red, Green, Blue, White, Black, Cyan, Yellow, Magenta) considering an orientation of a pixel color vector. It makes the image very reliable and strong against changes of illumination condition or environment. This paper divides the vehicle detection into a hypothesis generation step and a hypothesis verification step. In the hypothesis generation step, the vehicle candidate region is found by vertical edge and shadow. In the hypothesis verification step, the convolution matching and the complexity of image edge are used to detect real vehicles. It is proved that the proposed method has the fast and high detection rate on various experiments where the illumination source and environment are changed.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.