Flame recognition in video

By Walter Phillips, Mubarak Shah, Niels da Vitoria Lobo. Proceedings Fifth IEEE Workshop on Applications of Computer Vision, 2000

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Vision based fire detection (2004, methodology): “[10] use pixel colors and their temporal variations.”
Video fire detection - Review (2013, methodology): “More complex systems use rule-based techniques such as Gaussian smoothed color histograms [7], statistically generated color models [15], and blending functions [20].”
Early fire detection using convolutional neural networks during surveillance for effective disaster management (2017, methodology): “Another method is presented in [25] considering a lookup table for detection of ﬁre regions and their conﬁrmation using temporal variation.”
Fire detection using statistical color model in video sequences (2007, methodology): “In [6], Philips et al. use a look-up table to identify fire in video sequences using a manual training set which is created using the same video.”
Computer vision based method for real-time fire and flame detection (2006, neutral): “There are several videobased fire and flame detection algorithms in the literature (Chen et al., 2004; Fastcom Technology, 2002; Healey et al., 1993; Liu and Ahuja, 2004; Phillips et al., 2002).”