Skip to main content

Automatic Surveillance Methods

  • Living reference work entry
  • First Online:
  • 276 Accesses

Synonyms

Automatic wildfire monitoring; Semi-automatic wildfire surveillance

Definition

Automatic surveillance methods are based on the systems used to monitor of wildlands or wildland urban interfaces (WUI) for the purpose of detecting wildfires in their initial phase (early wildfire detection). They are usually based on the advanced analysis of data received from sensors suitable for detecting various wildfire features, particularly those characteristic of the early wildfire stage, such as wildfire smoke and/or flames. In most cases, these sensors are video cameras that are sensitive to various electromagnetic spectra.

Introduction

In the firefighting community, the necessity of detecting wildfires in their initial stage is well known. Wildfire fighting efforts and potential wildfire damage are proportional to the time passed between wildfire ignition and detection (Kourtz 1987). Therefore, enormous efforts have focused on developing methods and systems capable of detecting...

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

References

  • Benett BM, Hoffman DD, Prakashi C (1989) Observer mechanics – a formal theory of perception. Academic, New York

    Google Scholar 

  • Jakovčević T, Stipaničev D, Krstinić D (2009) False alarm reduction in forest fire video monitoring systems. MIPRO 2009 – 32nd international convention on information and communication technology, electronics and microelectronics, Opatija, Croatia, 25–29 May 2009, pp 264–269

    Google Scholar 

  • Jakovčević T, Šerić Lj, Stipaničev D, Krstinić D (2010) Wildfire smoke-detection algorithms evaluation. VI international conference on forest fire research, Coimbra, Portugal, 15–18 Nov 2010, 053

    Google Scholar 

  • Kourtz P (1987) The need for improved forest fire detection. For Chron 63(4):272–277

    Google Scholar 

  • Lindsa P, Norman DA (1977) Human information processing: an introduction to psychology, 2nd edn. Academic, New York

    Google Scholar 

  • Stipaničev D, Štula M, Krstinić D, Šerić LJ, Jakovčević T, Bugarić M (2010) Advanced automatic wildfire surveillance and monitoring network. Proceedings of VI international conference on forest fire research, Coimbra, Portugal, 15-18 Nov 2010, 052

    Google Scholar 

  • Stipaničev D, Šerić LJ, Braović M, Krstinić D, Jakovčević T, Štula M, Bugarić M, Maras J (2012) Vision based wildfire and natural risk observers. Proceedings of 3rd international conference on image processing theory, tools and applications, OS1: special session on Image Processing for Natural Risks, Istanbul. Turkey, 15–18 Oct 2012, p. 271

    Google Scholar 

  • Taylor JR (1997) An introduction to error analysis: the study of uncertainties in physical measurements, 2nd edn. University Science Books, Sausalito

    Google Scholar 

  • Vicente J, Guillemant P (2002) An image processing technique for automatically detecting forest fire. Int J Therm Sci 41:1113–1120

    Article  Google Scholar 

  • Watts AC, Kobziar LN (2013) Smoldering combustion and ground fires: ecological effects and multi-scale significance. Fire Ecol 9(1):124–132

    Article  Google Scholar 

  • Xu Z, Xu J (2007) Automatic fire smoke detection based on image visual features. International conference on computational intelligence and security workshops (CISW 2007). Harbin, Heilongjiang, China, 15-19 Dec 2007, pp 316–319

    Google Scholar 

  • Yan X, Cheng H, Zhao Y, Yu W, Huang H, Zheng X (2016) Real-time identification of smoldering and flaming combustion phases in Forest using a wireless sensor network-based multi-sensor system and artificial neural network. Sensors (Basel, Switzerland) 16(8):1228

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Darko Stipaničev .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Stipaničev, D. (2019). Automatic Surveillance Methods. In: Manzello, S. (eds) Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires. Springer, Cham. https://doi.org/10.1007/978-3-319-51727-8_10-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-51727-8_10-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51727-8

  • Online ISBN: 978-3-319-51727-8

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

Publish with us

Policies and ethics