Multi color feature, background subtraction and time frame selection for fire detection

The importance of early fire detection can help in providing warnings and avoid disaster that led to the economic damage and loss of life. Fire detection techniques with conventional sensors have limitations, which require a long time to detect a fire, especially in a large room and cannot work in the open area. This study proposed a fire detection method, to detect the possibility of fire based on visual sensor using multi-color feature such as color, saturation, luminance, background subtraction and time frame selection for fire detection. The evaluation in this studies conducted by calculating the error rate of the fire detection.