會議論文
| 學年 | 95 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2006-10-08 |
| 作品名稱 | Image-Based Fire Detection Using Neural Networks |
| 作品名稱（其他語言） | |
| 著者 | Horng, Wen-Bing; Peng, Jian-Wen |
| 作品所屬單位 | 淡江大學資訊工程學系 |
| 出版者 | |
| 會議名稱 | 9th Joint Conference on Information Sciences |
| 會議地點 | 高雄, 臺灣 |
| 摘要 | An image-based fire detection method using neural networks is proposed in this paper. First, flame color features, based on the HSI color model, are trained by a backpropagation neural network for flame recognition. Then, based on the learned flame color features, regions with fire-like colors are roughly separated from an image. Besides segmenting flame regions, background objects with similar fire colors or resulted from the reflection of fire flames are also separated from the image. In order to get rid of these spurious fire-like regions, the image difference method and the invented color masking technique are applied. Finally, a compact method is devised to estimate the burning degree of fire flames so that users could be informed with a proper warning alarm. The proposed system can achieve 96.47% fire detection rate on average. |
| 關鍵字 | Burning degree estimation;Color masking;Fire flame detection;Neural network |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | |
| 研討會時間 | 20061008~20061011 |
| 通訊作者 | |
| 國別 | TWN |
| 公開徵稿 | Y |
| 出版型式 | 紙本 |
| 出處 | Proceedings of 9th Joint Conference on Information Sciences，4頁 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/37480 ) |