Fire Detection Algorithms Using Multimodal ... - Bilkent University

CHAPTER 1. INTRODUCTION 7security guard of the forest look-out tower.The contribution of this work is twofold; a novel video based wildfire detectionmethod and a novel active learning framework based on the LMS algorithm. Theproposed adaptive fusion strategy can be used in many supervised learning basedcomputer vision applications comprising of several sub-algorithms.1.2 Thesis OutlineThe outline of the thesis is as follows. In Chapters 2 and 3, wavelet and HMMbased methods for flame detection in visible and IR range video are presented,respectively. The short-range smoke detection algorithm is presented in Chapter4. Detection of flames using PIR sensors is discussed in Chapter 5. In Chapter6, wildfire (long-range smoke) detection with active learning based on the LMSalgorithm is described. Finally Chapter 7 concludes this thesis by providing anoverall summary of the results. Possible research areas in the future are provided,as well.The organization of this thesis is presented in Table 1.1. Note that, smokedetection methods could only be developed for visible range cameras due to thefact that smoke cannot be visualized with PIR sensors and LWIR cameras.Table 1.1: Organization of this thesis.Sensor type Flame Short-range (< 30m) Long distance (> 100m)SmokeSmokeVisible Range Camera Chapter 2 Chapter 4 Chapter 6LWIR Camera Chapter 3 N/A N/APIR Sensor Chapter 5 N/A N/A