Fire Detection Algorithms Using Multimodal ... - Bilkent University

CHAPTER 1. INTRODUCTION 7
security guard of the forest look-out tower.
The contribution of this work is twofold; a novel video based wildfire detection
method and a novel active learning framework based on the LMS algorithm. The
proposed adaptive fusion strategy can be used in many supervised learning based
computer vision applications comprising of several sub-algorithms.
1.2 Thesis Outline
The outline of the thesis is as follows. In Chapters 2 and 3, wavelet and HMM
based methods for flame detection in visible and IR range video are presented,
respectively. The short-range smoke detection algorithm is presented in Chapter
4. Detection of flames using PIR sensors is discussed in Chapter 5. In Chapter
6, wildfire (long-range smoke) detection with active learning based on the LMS
algorithm is described. Finally Chapter 7 concludes this thesis by providing an
overall 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, smoke
detection methods could only be developed for visible range cameras due to the
fact 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)
Smoke
Smoke
Visible Range Camera Chapter 2 Chapter 4 Chapter 6
LWIR Camera Chapter 3 N/A N/A
PIR Sensor Chapter 5 N/A N/A