Abstract
In this paper, motion analysis methods based on the moment features and flicker frequency features for early fire flame from ordinary CCD video camera were proposed, and in order to describe the changing of flame and disturbance of non-flame phenomena further more, the average changing pixel number of the first-order moments of consecutive flames has been defined in the moment analysis as well. The first-order moments of all kinds of flames used in our experiments present irregularly flickering, and their average changing pixel numbers of first-order moments are greater than fire-like disturbances. For the analysis of flicker frequency of flame, which is extracted and calculated in spatial domain, and therefore it is computational simple and fast. The method of extracting flicker frequency from video images is not affected by the catalogues of combustion material and distance. In experiments, we adopted two kinds of flames, i. e., fixed flame and movable flame. Many comparing and disturbing experiments were done and verified that the methods can be used as criteria for early fire detection.
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Supported by “Experimental Scale Studies in Smoke Control Strategy in Large Linear Atria in HKSAR” (B Q372).
LI Jin, born in 1962, is now a professor in Harbin Engineering University, from which she received the B. S., M. S. and Ph. D degrees in Computer Science, Control Theory and Control Engineer, respectively. She is now a Postdoctoral Fellow in Harbin Institute of Technology. She had gone to Japan and Hong Kong several times for co-researches and academic exchanges. She has published more than 40 papers and five books. And she has obtained the Awards of Science and Technology of Heilongjiang Province and National Ministry for five times. She has obtained a National Inventive Patent as well. Her main research interests are video image processing, three dimensional reconstruction, and volume rendering et al.
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Li, J., Fong, N.K., Chow, W.K. et al. The motion analysis of fire video images based on moment features and flicker frequency. J. Marine. Sci. Appl. 3, 81–86 (2004). https://doi.org/10.1007/BF02918653
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DOI: https://doi.org/10.1007/BF02918653