Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13450
Title: The motion analysis of fire video images based on moment features and flicker frequency
Authors: Li, J
Fong, NK 
Chow, WK 
Wong, LT 
Lu, P
Xu, DG
Keywords: Fire video images
Moment features
Flicker frequency
TN941.5
A
Issue Date: 2004
Publisher: Harbin Engineering University
Source: Journal of marine science and applications, 2004, v. 3, no. 1, p. 81-86 How to cite?
Journal: Journal of marine science and applications 
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.
URI: http://hdl.handle.net/10397/13450
ISSN: 1671-9433
DOI: 10.1007/BF02918653
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

37
Last Week
1
Last month
Checked on Sep 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.