| Título: | A New Hybrid Feature Extraction Method Based on Accurate Motion Area |
| Autores: |
LI, Mengxin; Shenyang Jianzhu University XU, Weijing; Shenyang Jianzhu University XU, Ke; Shenyang Jianzhu University FAN, Jingjing; Shenyang Jianzhu University HOU, Dingding; Shenyang Jianzhu University |
| Fecha: | 2013-10-01 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | video image; a new moving target detection method; flame features extraction; contour feature |
| Descripción: | As the effect of fire detection can be severely affected by the following two problems: the extraction of moving target area with low accuracy and fire detection with a single feature, this paper puts forward a new method of moving target detection, then analyzes and extracts the features of flame, such as color, energy, flashing, and contour features. So whether there is a fire occur in the motion area can be detected exactly. Experimental results show that the proposed fire detection method can reduce the error rate, improve the real-time and anti-interference ability. |
| Idioma: | Inglés |