서지주요정보
Vehicle segmentation and recognition using principal components analysis and perceptual organization = 주성분 분석과 인지적 구조를 이용한 차량의 인식
서명 / 저자 Vehicle segmentation and recognition using principal components analysis and perceptual organization = 주성분 분석과 인지적 구조를 이용한 차량의 인식 / Hyo-Hyung Lee.
저자명 Lee, Hyo-Hyung ; 이효형
발행사항 [대전 : 한국과학기술원, 1998].
Online Access 원문보기 원문인쇄

소장정보

등록번호

8009003

소장위치/청구기호

학술문화관(문화관) 보존서고

MADE 98003

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초록정보

We investigate the role of perceptual organization in principal components analysis for vehicle recognition. The principal components analysis is a representative appearance based recognition algorithm that reduces the dimension of search space from the number of pixels to the number of dominant image components. However, its time complexity is high because it performs window operation. To reduce the search space, we use line junctions with associated quality measures found in perceptual organization methods. Because lines in image or their groupings are inherited from three-dimensional structures, they can form a good initial hypothesis of search process. We define a corner feature as a small image area where the junctions are concentrated, and at the same time, characterize an object. In our application, the corner of the roof inside of the vehicle area is selected, and we name it the corner feature. By combining principal components analysis and perceptual organization, we could construct an efficient vehicle recognition framework. We also present experimental results using real images of outdoor traffic scenes to demonstrate the efficiency of the algorithm.

서지기타정보

서지기타정보
청구기호 {MADE 98003
형태사항 iii, 66 p. : 삽도 ; 26 cm
언어 영어
일반주기 Appendix : A, Image sest. - B, Plane projective transformation
저자명의 한글표기 : 이효형
지도교수의 영문표기 : In-So Kweon
지도교수의 한글표기 : 권인소
학위논문 학위논문(석사) - 한국과학기술원 : 자동화및설계공학과,
서지주기 Reference : p. 54-55
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