지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보기술학회 JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE, VOL. 1, NO. 1
- 발행연도
- 2011.7
- 수록면
- 9 - 17 (9page)
- DOI
- 10.14801/JAITC.2011.1.1.9
이용수
초록· 키워드
오류제보하기
In this paper, fast region of interests(ROI) detection system is proposed using background modeling technique and neural network in a video stream. Existing systems for tracking and detection on a video stream could generate many loads because of detecting a region of interests on entire region at every frame. To solve the problem, the proposed system is detecting a ROI on moving region using background modeling technique and neural network. First, the proposed system extracts features on ROI using covariance descriptor and is studied through a backpropagation (BP) neural network. And then the proposed system can abstract a moving region using background modeling technique and detect a ROI from the moving region using covariance descriptor and neural network. In this paper, we conduct a performance evaluation of a proposed system through experiments on detecting a license plate in a video stream on a road and prove a quality of a proposed system.
목차
Abstract
1. INTRODUCTION
2. BACKGROUND MODELING
3. FAST COVARIANCE DESCRIPTOR
4. PROPOSED SYSTEM
5. CONCLUSIONS
REFERENCES
참고문헌 (9)
참고문헌 신청
W. Hu / 2004 / A Survey on visual Surveillance of Object Motion and Behaviors / IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 34(3):334~352
A. Tilmaz / 2006 / Object Tracking; A Survey / ACM Journal of Computing Surveys 39(4)
A. Lipton / 1998 / Moving Target Classification and Tracking from Real-Time Video / Proc. IEEE Workshop Applications of Computer Vision (WACV) :8~14
N. Friedman / 1997 / Image Segmentation in Video Sequences: A Probabilistic Approach / Proc. Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI 1997) :175~181
C. Stauffer / 1999 / Adaptive Background Mixture Models for Real-time Tracking / Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition :246~252
A. Tilmaz / 2006 / Object Tracking; A Survey / ACM Journal of Computing Surveys 39(4)
A. Lipton / 1998 / Moving Target Classification and Tracking from Real-Time Video / Proc. IEEE Workshop Applications of Computer Vision (WACV) :8~14
N. Friedman / 1997 / Image Segmentation in Video Sequences: A Probabilistic Approach / Proc. Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI 1997) :175~181
C. Stauffer / 1999 / Adaptive Background Mixture Models for Real-time Tracking / Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition :246~252
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UCI(KEPA) : I410-ECN-0101-2013-566-003522834