서지주요정보
영상 시퀀스 처리에 의한 차량의 검지와 차량의 윤곽 검출 = Vehicle detection and vehicle boundary extraction by processing image sequences
서명 / 저자 영상 시퀀스 처리에 의한 차량의 검지와 차량의 윤곽 검출 = Vehicle detection and vehicle boundary extraction by processing image sequences / 정상철.
저자명 정상철 ; Jung, Sang-Chul
발행사항 [대전 : 한국과학기술원, 1996].
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소장정보

등록번호

8006809

소장위치/청구기호

학술문화관(문화관) 보존서고

MADE 96023

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리뷰정보

초록정보

Closed circuit television (CCTV) systems deployed on roadway networks are believed to be among the best mechanisms for providing useful, reliable information for effective traffic management. Video Traffic Detection systems are now being considered key components of advanced traffic management systems. This study presents simple, yet effective algorithms for the detection of moving vehicles in real-time. In detecting the existence of vehicles, the thesis develops three approaches : a gray-scale normalized correlation algorithm, a reflectance ratio change detection algorithm, and an edge magnitude ratio change detection algorithm. We experiment above 3 algorithms and search the best algorithm for detecting the existence of vehicles from real-world traffic scenes. In the rear part of the work, we mainly take into account how to extract an initial shape boundary of a vehicle to be tracked. In fact, the extraction of the initial shape of a moving target is not only important but also difficult in the visual tracking areas. In a series of extensive experiments in a real-world traffic scene, the proposed algorithm has achieved a 98% of success rate during daytime and even at night better than a 95% success rate.

서지기타정보

서지기타정보
청구기호 {MADE 96023
형태사항 v, 82 p. : 삽도 ; 26 cm
언어 한국어
일반주기 부록 수록
저자명의 영문표기 : Sang-Chul Jung
지도교수의 한글표기 : 권인소
지도교수의 영문표기 : In-So Kweon
학위논문 학위논문(석사) - 한국과학기술원 : 자동화및설계공학과,
서지주기 참고문헌 : p. 67-71
주제 차량의 검지
차량의 윤곽 검출
Vehicle detection
Vehicle boundary extraction
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