Fire and Smoke Detection Using Wavelet Analysis and Disorder Characteristics
作者单位：Electrical Department Islamic Azad University-Kazeroun Branch KazerounIran Islamic Azad University-bushehr Branch bushehrIran Persian Gulf University BushehrIran Islamic Azad University-Kazeroun Branch KazerounIran
会议名称：《2011 3rd International Conference on Computer Research and Development(ICCRD 2011)》
会议日期：2011年
学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程]
关 键 词：Fire and smoke detection Wavelet analysis Disorder features Color and motion features
摘 要：The fire and smoke monitoring systems are useful in different industry such as military,social security and *** recent methods for fire and smoke detection are used only motion and color characteristics thus many wrong alarms are happening and this is decrease the performance of the *** research presents a new method for fire and smoke detection through image *** this algorithm all objects in an image is considered and then check them to figure out which objects are smoke and *** color,motion and disorder are useful characteristics in fire and smoke detection *** of fire will blur the whole or part of the *** by processing of the video frames,different objects will *** to evaluate the features of objects,the goal objects （fire and smoke） can be defined ***-dimensional wavelet analysis is used in the presented *** results of this research present the proposed features that can reduce the wrong alarms and increase the system performances.