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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | ByoungChul Ko Hyun-Jae Hwang In-Gyu Lee Jae-Yeal Nam |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput. Eng., Keimyung Univ., Daegu (ByoungChul Ko; Hyun-Jae Hwang; In-Gyu Lee; Jae-Yeal Nam) |
| Abstract | This paper proposes new video-based fire surveillance and remote monitoring system for real-life application. Most previous video-based fire detection systems using color information and temporal variations of pixels produce frequent false alarms due to the use of many heuristic features. Plus, they need several cameras to overcome the dead angle problem of a normal CCD camera. Thus, to overcome these problems, probabilistic models of fire are generated based on the fact that fire pixel values in consecutive frames change constantly and these models are applied to a Bayesian Networks to detect real fire from videos. In our system, we use an omni-directional camera instead of a normal CCD camera to remove the dead angle problem. After then, the fire region is captured by pan-tilt camera and transferred to cell phone for remote monitoring. The proposed system was successfully applied to various fire-detection tasks in real-world environments and effectively distinguished fire from fire-colored moving objects. |
| Starting Page | 427 |
| Ending Page | 432 |
| File Size | 504205 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769532424 |
| DOI | 10.1109/CIT.2008.Workshops.11 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-08 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Charge coupled devices bayesian network wavelet transform Sensor systems Smoke detectors Videos fire detection Surveillance Fires Thermal sensors Cameras omni-directional camera Remote monitoring Charge-coupled image sensors |
| Content Type | Text |
| Resource Type | Article |
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