Fire Detection Algorithms Using Multimodal ... - Bilkent University

CHAPTER 6. WILDFIRE DETECTION 105Table 6.2: The number of false alarms issued by different methods to video sequenceswithout any wildfire smoke.Frame Video Number of framesVideo Rate Duration with false alarmSequence (fps) (sec.) LMS Universal WMA FixedBased Based WeightsV13 7 100 0 16 37 73V14 10 100 0 11 48 172V15 10 100 0 13 28 116V16 5 100 0 9 19 41V17 5 100 2 6 24 59V18 7 100 1 15 32 67V19 7 100 2 23 52 840.40.35UniversalLMSWMA0.3Avg. Squared Error0.250.20.150.10.0505 10 15 20 25 30Frame NumberFigure 6.9: The average error curves for the LMS, universal predictor, and theWMA based adaptation algorithms in clip V 13. All of the algorithms convergeto the same average error value in this case, however the convergence rate ofthe LMS algorithm is faster than both the universal predictor and the WMAalgorithm.