The motion analysis of fire video images based on moment features and flicker frequency |
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Authors: | Li Jin Fong N. K. Chow W. K. Wong L. T. Lu Puyi Xu Dian-guo |
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Affiliation: | (1) School of Electrical Engineering and Automation, Harbin Institute of Technology, 150001 Harbin, China;(2) Department of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong, China;(3) School of Automation, Harbin Engineering University, 150001 Harbin, China |
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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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Keywords: | fire video images moment features flicker frequency |
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