IMPROVED METHOD AND SYSTEM FOR SMOKE DETECTION USING NONLINEAR ANALYSIS OF VIDEO

摘要

The present invention describes a method and a system for detection of fire and smoke using image and video analysis techniques to detect the presence of indicators of fire and smoke. The method and the system detects smoke by transforming plurality of images forming the video captured by a camera into Nonlinear Median filter Transform (NMT) domain, implementing an "L1 "-norm based energy measure indicating the existence of smoke from the MMT domain data, detecting slowly decaying NMT coefficients, performing color analysis in low-resolution NMT sub-images, using a Markov model based decision engine to model the turbulent behavior of smoke, and fusing the above information to reach a final decision about the existence of smoke within the viewing range of camera.