Methods and Techniques for Fire Detection: Signal, Image and Video Processing Perspectives

A. Enis Çetin*, Bart Merci, Osman Günay, Behçet Ugur Töreyin, Steven Verstockt

*Corresponding author for this work

Research output: Book/ReportBookpeer-review

16 Citations (Scopus)

Abstract

This book describes the signal, image and video processing methods and techniques for fire detection and provides a thorough and practical overview of this important subject, as a number of new methods are emerging. This book will serve as a reference for signal processing and computer vision, focusing on fire detection and methods for volume sensors. Applications covered in this book can easily be adapted to other domains, such as multi-modal object recognition in other safety and security problems, with scientific importance for fire detection, as well as video surveillance. Coverage includes: Camera Based Techniques. Multi-modal/Multi-sensor fire analysis. Pyro-electric Infrared Sensors for Flame Detection. Large scale fire experiments. Wildfire detection from moving aerial platforms. The basics of signal, image and video processing based fire detection. The latest fire detection methods and techniques using computer vision. Non-conventional fire detectors: Fire detection using volumetric sensors. Recent large-scale fire experiments and their results. New and emerging technologies and areas for further research.

Original languageEnglish
PublisherElsevier Inc.
Number of pages87
ISBN (Print)9780128023990
DOIs
Publication statusPublished - 1 Feb 2016

Bibliographical note

Publisher Copyright:
© 2016 Elsevier Ltd. All rights reserved.

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