Fire Detection Algorithms Using Multimodal ... - Bilkent University

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List of Tables1.1 Organization of this thesis. . . . . . . . . . . . . . . . . . . . . . . 72.1 The mean red, green and blue channel values and variances of tenGaussian distributions modeling flame color in Fig. 2.2 (b) are listed. 172.2 Comparison of the proposed method (Method-2.1), the methodbased on color and temporal variation clues only (Method-2.2)described in [64], and the method proposed in [17] (Method-2.3). . 332.3 Time performance comparison of Methods 2.1, 2.2, and 2.3 for themovies in Table 2.2. The values are the processing times per framein milliseconds. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343.1 Detection results for some of the test clips. In the video clip V3,flames are hindered by a wall for most of the time. . . . . . . . . . 513.2 Fire detection results of our method when trained with differentflame types. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 523.3 Comparison of the proposed method with the modified version ofthe method in [36] (CVH method) and the fire detection methoddescribed in [87] for fire detection using a regular visible rangecamera. The values for processing times per frame are in milliseconds. 52xviii
LIST OF TABLESxix4.1 Detection results of Method-4.1 and Method-4.2 for some live andoff-line videos. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 664.2 Smoke and flame detection time comparison of Method-4.1 andMethod-4.3, respectively. Smoke is an early indicator of fire. InMovies 11 and 12, flames are not in the viewing range of the camera. 675.1 Results with 198 fire, 588 non-fire test sequences. The systemtriggers an alarm when fire is detected within the viewing range ofthe PIR sensor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 796.1 Frame numbers at which an alarm is issued with different methodsfor wildfire smoke captured at various ranges and fps. It is assumedthat the smoke starts at frame 0. . . . . . . . . . . . . . . . . . . 1046.2 The number of false alarms issued by different methods to videosequences without any wildfire smoke. . . . . . . . . . . . . . . . . 105
Page 3 and 4: I certify that I have read this the
Page 7 and 8: viiiçin de işaret işleme yöntem
Page 9: ixThis work was supported in part b
Page 14 and 15: LIST OF FIGURESxiv2.6 Three-state M
Page 16 and 17: LIST OF FIGURESxvi4.4 Two moving ob
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CHAPTER 3. FLAME DETECTION IN INFRA
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CHAPTER 3. FLAME DETECTION IN INFRA
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Chapter 4Short Range Smoke Detectio
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Chapter 5Flame Detection Using PIRS
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CHAPTER 5. FLAME DETECTION USING PI
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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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