Fire Detection Algorithms Using Multimodal ... - Bilkent University

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CHAPTER 3. FLAME DETECTION IN INFRA-RED (IR) VIDEO 47Figure 3.8: Image frames from some of the test clips. a), b) and c) <strong>Fire</strong> regionsare detected and flame boundaries are marked with arrows. d), e) and f) No falsealarms are issued for ordinary moving bright objects.
CHAPTER 3. FLAME DETECTION IN INFRA-RED (IR) VIDEO 48Figure 3.9: Image frames from some of the test clips with fire. Pixels on theflame boundaries are successfully detected.
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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
Page 16 and 17: LIST OF FIGURESxvi4.4 Two moving ob
Page 18 and 19: List of Tables1.1 Organization of t
Page 20 and 21: Chapter 1IntroductionDynamic textur
Page 22: CHAPTER 1. INTRODUCTION 3No fire de
Page 27 and 28: Chapter 2Flame Detection in Visible
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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 and 90: CHAPTER 5. FLAME DETECTION USING PI
Page 101 and 102: CHAPTER 6. WILDFIRE DETECTION 82In
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CHAPTER 6. WILDFIRE DETECTION 98as
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CHAPTER 6. WILDFIRE DETECTION 100Un
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CHAPTER 6. WILDFIRE DETECTION 102is
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CHAPTER 6. WILDFIRE DETECTION 104Ta
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Chapter 7Conclusion and Future Work
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CHAPTER 7. CONCLUSION AND FUTURE WO
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Bibliography[1] B. Albers and A. Ag
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BIBLIOGRAPHY 112[18] D. Chetverikov
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BIBLIOGRAPHY 114[38] G. Healey, D.
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BIBLIOGRAPHY 116[56] U. Niesen, D.
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BIBLIOGRAPHY 118[77] C. Stauffer an
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Fire Detection Algorithms Using Multimodal ... - Bilkent University

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