Fire Detection Algorithms Using Multimodal ... - Bilkent University

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CHAPTER 5. FLAME DETECTION USING PIR SENSORS 719000Flicker Frequency Distribution800070006000Abs. DFT coef.500040003000200010000−25 −20 −15 −10 −5 0 5 10 15 20 25Frequency (Hz)Figure 5.2: Flame flicker spectrum distribution. PIR signal is sampled with 50Hz.
CHAPTER 5. FLAME DETECTION USING PIR SENSORS 72Figure 5.3: A typical PIR sensor output sampled at 50 Hz with 8 bit quantizationwhen there is no activity within its viewing range.
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I certify that I have read this the
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viiiçin de işaret işleme yöntem
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ixThis work was supported in part b
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LIST OF FIGURESxiv2.6 Three-state M
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LIST OF FIGURESxvi4.4 Two moving ob
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List of Tables1.1 Organization of t
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Chapter 1IntroductionDynamic textur
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CHAPTER 1. INTRODUCTION 3No fire de
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Chapter 2Flame Detection in Visible
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CHAPTER 2. FLAME DETECTION IN VISIB
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Page 73 and 74: Chapter 4Short Range Smoke Detectio
Page 75 and 76: CHAPTER 4. SHORT RANGE SMOKE DETECT
Page 87 and 88: Chapter 5Flame Detection Using PIRS
Page 89: CHAPTER 5. FLAME DETECTION USING PI
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Page 125 and 126: Chapter 7Conclusion and Future Work
Page 127 and 128: CHAPTER 7. CONCLUSION AND FUTURE WO
Page 129 and 130: Bibliography[1] B. Albers and A. Ag
Page 131 and 132: BIBLIOGRAPHY 112[18] D. Chetverikov
Page 133 and 134: BIBLIOGRAPHY 114[38] G. Healey, D.
Page 135 and 136: BIBLIOGRAPHY 116[56] U. Niesen, D.
Page 137 and 138: BIBLIOGRAPHY 118[77] C. Stauffer an
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Fire Detection Algorithms Using Multimodal ... - Bilkent University

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