서지주요정보
경계선의 분포 모델을 이용한 차량 인식 = Recognition of vehicles using edge distribution model
서명 / 저자 경계선의 분포 모델을 이용한 차량 인식 = Recognition of vehicles using edge distribution model / 김현호.
저자명 김현호 ; Kim, Hyoun-Ho
발행사항 [대전 : 한국과학기술원, 1997].
Online Access 비공개원문

소장정보

등록번호

8008081

소장위치/청구기호

학술문화관(문화관) 보존서고

MADE 97027

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도서상태

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초록정보

Vehicle detection and recognition are two important issues in vision-based traffic applications. We are more interested in recognizing than detecting moving vehicles in real road scenes captured by a static camera. We first extract regions corresponding to moving vehicles in the image by an image difference-based method using the adaptive Kalman filtering. But it is difficult to recognize vehicles n real time using the previously proposed algorithms. In this thesis, we proposed a fast vehicle recognition algorithm in real road scenes captured by a static camera. We first extract regions corresponding to moving vehicles in the image by an image difference-based method using the adaptive Kalman filtering. We recognize vehicles by analyzing edge distributions of these regions. In this thesis, we recognize five kinds of vehicles- sedan, truck, bus, jeep and van. In real road scenes, it is difficult to obtain lines and significant features. Therefore we use the models of edge clusters to recognize vehicles. We obtain dominant edge clusters, and find matched objects in the scene based on the relative distance between these edge cluster. Although the proposed method has some limitations such that it assumes fixed camera and that vehicles must keep their direction, it is robust in noisy scenes and is fast due to its simplicity. The proposal algorithm shows the possibility of real-time recognition.

서지기타정보

서지기타정보
청구기호 {MADE 97027
형태사항 vi, 61 p. : 삽도 ; 26 cm
언어 한국어
일반주기 부록 수록
저자명의 영문표기 : Hyoun-Ho Kim
지도교수의 한글표기 : 권인소
지도교수의 영문표기 : In-So Kweon
학위논문 학위논문(석사) - 한국과학기술원 : 자동화및설계공학과,
서지주기 참고문헌 : p. 57-58
주제 차량 인식
경계선 분포
Recognition of vehicle
Edge distribution
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