Skip to main content
SpringerLink
Log in

Fire detection algorithms for video images of large space structures

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

In large space structures, the latest fire detection methods are based on video image processing and data fusion. But the false positive rate and false negative rate remain unsatisfactory and need improving. The emphases of this paper are target extraction and recognition. A new adaptively updating target extraction algorithm (NAUTEA) is proposed by which the intact target can be extracted in time. In addition, some fire video image recognition algorithms, such as fuzzy neural network (FNN) and FGALSSVM (Fuzzy GALSSVM), are studied and improved. To verify the performance of these algorithms, a prototype system is developed, and a series of algorithm tests on a fire video are conducted. These tests make it clear that, the accurate, robust and real-time fire detection can be realized.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  1. Benmokhtar R, Huet B (2006) Neural network combining classifier based on Dempster–Shafer theory for semantic indexing in video content. In: Lecture notes in computer science. Springer, Berlin Heidelberg, pp 196–205

  2. Beynon M, Curry B, Morgan P (2000) The Dempster–Shafer theory of evidence: an alternative approach to multicriteria decision modeling. Omega Int J Manag 28:37–50

    Article  Google Scholar 

  3. Burges CJC (1998) A tutorial on support vector machines for pattern recognition. Data Min Knowl Disc 2(2):121–167

    Article  Google Scholar 

  4. Campbell C (2002) Kernel methods: a survey of current techniques. Neurocomputing 48(1):63–84

    Article  MATH  Google Scholar 

  5. Chen TH, Wu PH, Chiou YC (2004) An early fire-detection method based on image processing. In: Proc. IEEE Int. Conf. Image Processing (ICIP), Singapore, pp 1707–1710

  6. Dempster AP (2008) Upper and lower probabilities induced by a multivalued mapping. In: Studies in fuzziness and soft computing. Springer, Berlin Heidelberg, pp 57–72

  7. Goldberg DE (1989) Genetic algorithms in search, optimization and machine learning. Addison-Wesley Longman, Boston

    MATH  Google Scholar 

  8. Gupte S, Masoud O, Martin RFK, Papanikolopoulos NP (2002) Detection and classification of vehicles. IEEE Trans Intell Transp Syst 3(1):37–47

    Article  Google Scholar 

  9. Hou J, Qian JR, Zhao ZZ, Pan P, Zhang WJ (2009) Fire detection algorithms in video images for high and large-span space structures. In: Proc. The 2nd Int. Conf. Image and Signal Processing (CISP‘09). Tianjin, China. Accepted

  10. Huseynov JJ, Baliga SB, Widmer A, Boger Z (2008) An adaptive method for industrial hydrocarbon flame detection. Neural Netw 21:398–405

    Article  Google Scholar 

  11. Lian Q, Su J (2007) Application of DS evidence theory in fire detection. China Instrum 6:65–67

    Google Scholar 

  12. Meier T, Ngun KN (1999) Video segmentation for content-based coding. IEEE Trans Circuits Syst Video Technol 9(8):1190–1203

    Article  Google Scholar 

  13. Sentz K, Ferson S (2002) Combination of evidence in Dempster-Shafer theory. Dissertation, Binghamton University

  14. Shafer G (1976) A mathematical theory of evidence. Princeton University Press, Princeton

    MATH  Google Scholar 

  15. Srinivas M, Patnaik LM (1994) Adaptive probabilities of crossover and mutation in GA. IEEE Trans Syst Man Cybern 24(4):656–667

    Article  Google Scholar 

  16. Stauffer C, Grimson WEL (2000) Learning patterns of activity using real-time tracking. IEEE Trans Pattern Anal Mach Intell 22(8):747–757

    Article  Google Scholar 

  17. Suykens JAK, Vandewalle J (1999) Least squares support vector machine classifiers. Neural Process Lett 9(3):293–300

    Article  MathSciNet  Google Scholar 

  18. Wu L-B, Fang J, Xie Q-Y (2006) Fire detection and information processing. Chemical Industry Press, Beijing

    Google Scholar 

  19. Xiao JM, Wang XH (2003) A fuzzy neural network approach to fire detection in ships. The 12th IEEE International Conference on Fuzzy Systems 2:1459–1461

  20. Xu L-M, He W (2005) Application of fuzzy neural network to fire alarm system of high-rise building. J Commun Comput 2(9):18–21

    Google Scholar 

  21. Zadeh LA (1986) A simple view of the Dempster–Shafer theory of evidence and its implication for the rule of combination. Artif Intell 7(2):85–90

    Google Scholar 

Download references

Acknowledgements

This research is supported by the National Science & Technology Pillar Program during the Eleventh Five-Year Plan Period (2006BAJ13B03). All comments from the anonymous reviewers are acknowledged.

Author information

Authors and Affiliations

  1. Department of Civil Engineering, Tsinghua University, Beijing, 100084, China

    Jie Hou, Jiaru Qian, Zuozhou Zhao & Peng Pan

  2. College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China

    Weijing Zhang

Authors
  1. Jie Hou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jiaru Qian
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Weijing Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zuozhou Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Peng Pan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jie Hou.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hou, J., Qian, J., Zhang, W. et al. Fire detection algorithms for video images of large space structures. Multimed Tools Appl 52, 45–63 (2011). https://doi.org/10.1007/s11042-009-0451-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-009-0451-0

Keywords

Search

Navigation