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A Survey on Video Smoke Detection

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Information and Communication Technology for Sustainable Development

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 9))

Abstract

Fire destroys human lives and property. Therefore, there is a huge need for a reliable and probable fire detection technique. This paper provides a review on various methods developed to detect smoke through videos. The study basically categorizes techniques of smoke detection on the basis of feature extraction method (static/dynamic characteristics), locating region of interest (ROI), etc. It also discusses the nature of camera, color model used for detection and so on. A basic method of smoke detection is described stepwise with different types of algorithms used in each step. The pros and cons of each method are also discussed briefly in this paper.

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Author information

Authors and Affiliations

  1. Computer Science and Engineering Department, Guru Ghasidas University, Bilaspur, Chhattisgarh, India

    Princy Matlani & Manish Shrivastava

Authors
  1. Princy Matlani
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  2. Manish Shrivastava
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Corresponding author

Correspondence to Princy Matlani .

Editor information

Editors and Affiliations

  1. Microsoft Innovation Centre, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  2. Dagenham, United Kingdom

    Malaya Kumar Nayak

  3. Department of Information Technology, Sabar Institute of Technology, Ahmedabad, Gujarat, India

    Amit Joshi

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© 2018 Springer Nature Singapore Pte Ltd.

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Matlani, P., Shrivastava, M. (2018). A Survey on Video Smoke Detection. In: Mishra, D., Nayak, M., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Lecture Notes in Networks and Systems, vol 9. Springer, Singapore. https://doi.org/10.1007/978-981-10-3932-4_22

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  • DOI: https://doi.org/10.1007/978-981-10-3932-4_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3931-7

  • Online ISBN: 978-981-10-3932-4

  • eBook Packages: EngineeringEngineering (R0)

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