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F-Hessian SIFT-Based Railroad Level-Crossing Vision System  

Lim, Hyung-Sup (광운대학교 대학원)
Yoon, Hak-Sun (광운대학교 대학원)
Kim, Chel-Huan (광운대학교 대학원)
Ryu, Deung-Ryeol (광운대학교 대학원)
Cho, Hwang (광운대학교 정보제어공학과)
Lee, Key-Seo (광운대학교정보제어공학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.5, no.2, 2010 , pp. 138-144 More about this Journal
Abstract
This paper presents the experimental analysis of a F-Hessian SIFT-Based Railroad Level-Crossing Safety Vision System. Region of surveillance, region of interests, data matching based on extracting feature points has been examined under the laboratory condition by the model rig on a small scale. Real-time system were observed by using SIFT based on F-Hessian feature tracking method and other common algorithm.
Keywords
SIFT; Level-Crossing System; Vision; Safety;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 D. Lowe, "Object Recognition from Local Scale-Invariant Features", International Conf. on Computer Vision, pp. 1150-1157, 1999.
2 D. Lowe. "Distinctive Image Features from Scale -Invariant Keypoints", Int'l J. Computer Vision, Vol. 2, No. 60, pp.91-110, 2004.
3 J. Matas, O. Chum, M. Urban, and T. Pajdla, "Robust Wide Baseline Stereo from Maximally Stable Extremal Regions", Proc. of British Machine Vision Conference, pp.384-396, 2002.
4 Brown, M. and Lowe, D.G., "Invariant Features from Interest Point Groups" In British Machine Vision Conference, Cardiff, Wales, pp.656-665, 2002.
5 H Bay, T Tuytelaars and L Van Gool, "SURF: Speeded Up Robust Features", ECCV, 2006.
6 Merwe, R. Doucet, A. Freitas, N. and Wan, E, "The Unscented Particle Filter", Technical Report CUED/F-INFENG/TR 380
7 Lindeberg, T.,"Detecting Salient Blob-like Image Structures and Their Scales with a Scale-space Primal Sketch: a Method for Focus-of-attention" International Journal of Computer Vision, Vol. 11, No. 3, pp.283-318. 1993.   DOI   ScienceOn
8 Lowe, D.G.,"Local Feature View Clustering for 3D Object Recognition", IEEE Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, pp.682-688, 2001.
9 이재훈, 김종기, "철도건널목 지장물 검지를 위한 보판센서 연구 개발", 한국철도학회 논문집, Vol. 9, No. 2, pp.230-236, April 2006.   과학기술학회마을
10 김윤집, 권용진, 신석균, 이기서, "기하학적 픽셀 값과 히스토그램을 값을 사용한 건널목에서의 물체 검출에 관한 연구", 한국철도학회 추계학술대회논문집, Vol. 1, pp.566-573. Cot. 2002.
11 조봉관, "스테레오 카메라를 이용한 건널목 장애물검지장치", 한국철도학회 추계학술대회논문집, pp.106-111, Oct. 2004.
12 유상환, "철도건널목 지능화를 위한 영상처리식지장물 검지장치에 관한 연구", 성균관 대학교 박사학위논문, 2009.