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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Electrical Engineering and Information Science Journal of Electrical Engineering and Information Science Vol.3 No.6
- 발행연도
- 1998.12
- 수록면
- 816 - 827 (12page)
이용수
초록· 키워드
오류제보하기
In this paper, an intelligent Automatic Surveillance System is proposed using fuzzy rule base system and genetic algorithms. The aim of our Automatic Surveillance System is to detect a moving object and make a decision on whether it is human or not. Various object features such as the ratio of the width and the length of the moving object, the distance dispersion between the principal axis and the object contour, the eigenvectors, the symmetric axes, and the areas of the segmented regions are used in this paper. These features are not the unique and decisive characteristics for representing human. Also, due to the outdoor image property, the object feature information is unavoidably vague and inaccurate. In order to make an efficient decision from that information, we use a fuzzy rule base system as an approximate reasoning method. The fuzzy rules, combining various object features, are able to describe the conditions for making an intelligent decision. The fuzzy rule base system is initially constructed by heuristic information and then, trained and tested with input/output data. For the effective training, the well-known Genetic Algorithms (GA) are used. Experimental results are shown, demonstrating the validity of our system.
목차
Abstract
Ⅰ. Introduction
Ⅱ. Image processing
Ⅲ. Fuzzy rule base system
Ⅳ. Experimental Results
Ⅴ. Conclusion
Appendix
Rules
Reference
저자소개
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