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The Target Detection and Classification Method Using SURF Feature Points and Image Displacement in Infrared Images

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2014, 19(11), pp.43-52
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

김재협 1 최봉준 1 천승우 1 이종민 2 Young Shik Moon 2

1삼성탈레스(주)
2한양대학교

Accredited

ABSTRACT

In this paper, we propose the target detection method using image displacement, and classificationmethod using SURF(Speeded Up Robust Features) feature points and BAS(Beam Angle Statistics) ininfrared images. The SURF method that is a typical correspondence matching method in the area of imageprocessing has been widely used, because it is significantly faster than the SIFT(Scale Invariant FeatureTransform) method, and produces a similar performance. In addition, in most SURF based objectrecognition method, it consists of feature point extraction and matching process. In proposed method, itdetects the target area using the displacement, and target classification is performed by using the geometry of SURF feature points. The proposed method was applied to the unmanned targetdetection/recognition system. The experimental results in virtual images and real images, we haveapproximately 73~85% of the classification performance.

Citation status

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