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.
초록· 키워드
오류제보하기
Fires are the most common disaster and early fire detection is of great importance to minimize the consequent damage. Simple sensors including smoke detectors are widely used for the purpose but they are able to sense fires only at close proximity. Recently, due to the rapid advances of relevant technologies, vision-based fire sensing has attracted growing attention. In this paper, a novel visual sensing technique to automatically detect fire is presented. The proposed technique consists of multiple steps of image processing: pixel-level, block-level, and frame level. At the first step, fire flame pixel candidates are selected based on their color values in YIQ space from the image of a camera which is installed as a vision sensor at a fire scene. At the second step, the dynamic parts of flames are extracted by comparing two consecutive images. These parts are then represented in regularly divided image blocks to reduce pixel-level detection error and simplify following processing. Finally, the temporal change of the detected blocks is analyzed to confirm the spread of fire. The proposed technique was tested using real fire images and it worked quite reliably.
목차
등록된 정보가 없습니다.
참고문헌 (12)
참고문헌 신청
D. A. Ballard / 1982 / Computer Vision / Prentice-Hall
G. Marbach / 2006 / An image processing technique for fire detection in video Images / Fire Safety Journal 41 (4) : 285 ~ 289
H. Yamagishi / 1999 / Fire flame detection algorithm using a color camera / Proc. Int. Symp. Micromechatronics and Human Science : 255 ~ 260
J. R. Martinez-de Dios / 2011 / Automatic forest-fire measuring using ground stations and unmanned aerial systems / Sensors 11 : 6328 ~ 6353
L. Ma / 2010 / Fire smoke detection in video images using Kalman filter and Gaussian mixture color model / Proc. Int. Conf. on Artificial Intelligence and Computational Intelligen
G. Marbach / 2006 / An image processing technique for fire detection in video Images / Fire Safety Journal 41 (4) : 285 ~ 289
H. Yamagishi / 1999 / Fire flame detection algorithm using a color camera / Proc. Int. Symp. Micromechatronics and Human Science : 255 ~ 260
J. R. Martinez-de Dios / 2011 / Automatic forest-fire measuring using ground stations and unmanned aerial systems / Sensors 11 : 6328 ~ 6353
L. Ma / 2010 / Fire smoke detection in video images using Kalman filter and Gaussian mixture color model / Proc. Int. Conf. on Artificial Intelligence and Computational Intelligen
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