Multi-feature fusion based fast video flame detection

Building and Environment

Volumn 45, Issue 5, 2010, Pages 1113-1122

  Chen, Juan ^a,c   He, Yaping ^b   Wang, Jian ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b UNIVERSITY OF WESTERN SYDNEY   (Australia)

^c Zhejiang Academy of Science and Technology for Inspection and Quarantine   (China)

Author keywords

Color mapping; Flickering analysis; Gaussian mixture model; Motion detection

Indexed keywords

COLOR FILTERING; COLOR MAPPING; COLOR VIDEO; DETECTION ALGORITHM; FAST VIDEO; FLAME DETECTION; FLAME FLICKER; FLAME FLICKERING; FOREGROUND OBJECTS; GAUSSIAN MIXTURE MODEL; IDENTIFICATION ALGORITHMS; IMAGE SIZES; MOTION DETECTION; MOVING OBJECTS; MULTI-FEATURE FUSION; PROCESSING RATES; SPATIAL CHARACTERISTICS; STATISTICAL FREQUENCY; TESTING RESULTS; VIDEO IMAGE;

ALGORITHMS; COLOR; COLOR PRINTING; COMMUNICATION CHANNELS (INFORMATION THEORY); FLICKERING; IMAGE PROCESSING; MIXTURES; VIDEO RECORDING;

FLAMMABILITY;

ALGORITHM; COLOR; DETECTION METHOD; FIRE BEHAVIOR; GAUSSIAN METHOD; IMAGE PROCESSING; VIDEOGRAPHY;

EID: 74149093643     PISSN: 03601323     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.buildenv.2009.10.017     Document Type: Article

References (31)

1. Proulx G. Evacuation time, the SFPE handbook of fire protection engineering. 4th ed. (2008), National Fire Protection Association, Quincy, MA p. 3.355-3.372
2. Tavares R.M., and Galea E.R. Evacuation modelling analysis within the operational research context: a combined approach for improving enclosure designs. Building and Environment 44 5 (2009) 1005-1016
3. Custer R.L.P., Meacham B.J., and Schifiliti R.P. Design of detection systems, the SFPE handbook of fire protection engineering. 4th ed. (2008), National Fire Protection Association, Quincy, MA p. 4.1-4.44
4. In: Cote A.E. (Ed). Fire protection handbook. 19th ed. (2003), National Fire Protection Association, Quincy, Mass
5. Wong J., and LI H. Development of a conceptual model for the selection of intelligent building systems. Building and Environment 41 8 (2006) 1106-1123
6. Phillips III W., Shah M., and da Vitoria Lobo N. Flame recognition in video. Pattern Recognition Letters 23 1-3 (2000) 319-327
7. Healey G, Slater D, Lin T, Drda B, Goedeke AD. A system for real-time fire detection. In: Proceedings of conference on computer vision and pattern recognition (CVPR '93); 1993. p. 605-6.
8. Cheng X.F., Wu J.H., Yuan X., and Zhou H. Principles for a video fire detection system. Fire Safety Journal 33 1 (1999) 57-69
9. Yamagishi H, Yamaguchi J. Fire flame detection algorithm using a color camera. In: Proceedings of 1999 International symposium on micromechatronics and human science; 1999. p. 255-60.
10. Liu CB, Ahuja N. Vision based fire detection. In: Proceedings of the 17th International conference on pattern recognition (ICPR '04); 2004. p. 134-7.
11. Wren C., Azarbayejani A., Darrell T., and Pentland A. Pfinder: real-time tracking of the human body. IEEE Transactions on Pattern Analysis and Machine Intelligence 19 7 (1997) 780-785
12. Celik T., Demirel H., Ozkaramanli H., and Uyguroglu M. Fire detection using statistical color model in video sequences. Journal of Visual Communication and Image Representation 18 2 (2007) 176-185
13. Chen TH, Wu PH, Chiou YC. An early fire-detection method based on image processing. In: Proceedings of IEEE International Conference on image processing (ICIP '04); 2004. p. 1707-10.
14. Ono T., Ishii H., Kawamura K., Miura H., Momma E., Fujisawa T., et al. Application of neural network to analyses of CCD colour TV-camera image for the detection of car fires in expressway tunnels. Fire Safety Journal 41 4 (2006) 279-284
15. McCaffrey BJ. Fire plume dynamics - a review. In: Proceedings of large-scale fire phenomenology conference; 1984. p. 1-10.
16. Detriche P., and Lanore J.C. An acoustic study of pulsation characteristics of fires. Fire Technology 16 3 (1980) 204-211
17. Toreyin B.U., Dedeoglu Y., Gudukbay U., and Cetin A.E. Computer vision based method for real-time fire and flame detection. Pattern Recognition Letters 27 1 (2006) 49-58
18. Dedeoglu Y, Toreyin BU, Gudukbay U, Cetin AE. Real-time fire and flame detection in video. In: Proc. IEEE International Conference on acoustics, speech, and signal processing (ICASSP '05); 2005. p. 669-72.
19. Toreyin BU, Dedeoglu Y, Cetin AE. Flame detection in video using hidden markov models. In: Proc. 2005 International conference on image processing (ICIP 2005); 2005. p. 2457-60.
20. Marbach G., Loepfe M., and Brupbacher T. An image processing technique for fire detection in video images. Fire Safety Journal 41 4 (2006) 285-289
21. Schultze T., Kempka T., and Willms I. Audio-video fire-detection of open fires. Fire Safety Journal 41 4 (2006) 311-314
22. Chen T., Yuan H.Y., Su G.F., and Fan W.C. Automatic fire searching and suppression system for large spaces. Fire Safety Journal 39 4 (2004) 297-307
23. Stauffer C., and Grimson W.E.L. Learning patterns of activity using real-time tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 22 8 (2000) 747-757
24. Huang W.Q., and Wang Y.M. Tracking and detecting multi-objects based on adaptive mixture models and features of region. Computer Measurement & Control 11 9 (2003) 648-650 654 [in Chinese]
25. Gianluca B, Massimo B. Background estimation with Gaussian distribution for image segmentation, a fast approach. In: Proceedings of the 2005 IEEE International workshop on measurement systems for homeland security, contraband detection and personal safety workshop (IMS 2005); 2005. p. 29-30.
26. Meng F., and Wang C.R. Research of fast moving object detection in multimode background. Electronic Measurement Technology 30 6 (2007) 34-35 79 [in Chinese]
27. Cheng X., Wang D.C., and Yin D.L. Image type fire flame detecting principle. Fire Safety Science 14 4 (2005) 239-245 [in Chinese]
28. Gonzalez R.C., and Woods R.E. Digital image processing (2003), Publishing House of Electronics Industry, Beijing [in Chinese]
29. Gonzalez R.C., Woods R.E., and Eddins S.L. Digital image processing using MATLAB (2005), Publishing House of Electronics Industry, Beijing [in Chinese]
30. Hamins A, Yang JC, Kashiwagi T. An experimental investigation of the pulsation frequency of flames. In: Proceedings of the 24th (International) symposium on combustion; 1992. p. 1695-702.
31. Yang J., and Wang R.S. A survey on fire detection and application based on video image analysis. Video Engineering 8 (2006) 92-96 [in Chinese]