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.
- 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
|Product dimensions:||7.50(w) x 9.25(h) x (d)|
About the Author
A. Enis Cetin studied Electrical Engineering at the Orta Dogu Teknik Universitesi (METU). After getting his B.Sc. degree, he got his M.S.E and Ph.D. degrees in Systems Engineering from the Moore School of Electrical Engineering at the University of Pennsylvania in Philadelphia. Between 1987-1989, he was Assistant Professor of Electrical Engineering at the University of Toronto, Canada. Since then he has been with Bilkent University, Ankara, Turkey. Currently he is a full professor. During summers of 1988, 1991, 1992 he was with Bell Communications Research (Bellcore), NJ, USA. He spent 1994-1995 academic year at Koc University in Istanbul, and 1996-1997 academic year at the University of Minnesota, Minneapolis, USA as a visiting associate professor. He is involved in Multimedia Understanding Through Semantics and Computational Learning Network of Excellence research MUSCLE-ERCIM, computer vision based wild-fire detection research VBI Lab , biomedical signal and image processing research , MIRACLE project , signal processing research for food safety and quality applications, wavelet theory, inverse problems and used to carry out research related to Turkish Language and Speech Processing.
Prof. Cetin is a fellow of IEEE. He was an Associate Editor of the IEEE Transactions on Image Processing between 1999 and 2003, EURASIP Journal of Applied Signal Processing (Springer), and Signal Processing (Elsevier). He is currently a member of the SPTM technical committee of the IEEE Signal Processing Society. He founded the Turkish Chapter of the IEEE Signal Processing Society in 1991. He was Signal Processing and AES Chapter Coordinator in IEEE Region-8 in 2003. He received the young scientist award of TUBITAK (Turkish Scientific and Technical Research Council) in 1993. He was the co-chair of the IEEE-EURASIP Nonlinear Signal and Image Processing Workshop (NSIP'99) which was held in June 1999 in Antalya, Turkey. He was also the techical co-chair of the European Signal Processing Conference, EUSIPCO-2005 . He was on the editorial boards of EURASIP Journals, Signal Processing and Journal of Advances in Signal Processing (JASP). Currently, he is the Editor-in-Chief of Signal, Image and Video Processing SIViP, and a member of the editorial boards of IEEE CAS for Video Technology and IEEE Signal Processing Magazine. He holds four US patents.Bart Merci is Full Professor at Ghent University (Belgium). He is Head of the research unit ‘Combustion, Fire and Fire Safety’. Having completed a PhD (Ghent University, 2000) on turbulence modeling in CFD simulations of non-premixed combustion, he is an expert in fluid mechanics aspects in reacting flows, more particularly related to fire and smoke dynamics. He has already co-authored over 100 peer review publications and over 200 conference publications and is editorial board member of multiple leading journals in the field. He initiated and coordinates the International Master of Science in Fire Safety Engineering, a collaboration of Ghent University, Lund University and The University of Edinburgh, with The University of Queensland, ETH Zürich and University of Maryland as Associated Partners.Osman Günay received his B.Sc. and M.S. degrees in Electrical and Electronics Engineering from Bilkent University, Ankara, Turkey. In 2015, he received his Ph.D. degree from the same department. Since 2011 he has been working in defence industry as a system engineer. His research interests include computer vision, video segmentation, and dynamic texture recognition.Behçet Uğur Töreyin received the B.S. degree from the Middle East Technical University, Ankara, Turkey in 2001 and the M.S. and Ph.D. degrees from Bilkent University, Ankara, in 2003 and 2009, respectively, all in electrical and electronics engineering. He is now an Assistant Professor with the Informatics Institute at Istanbul Technical University. His research interests broadly lie in signal processing and pattern recognition with applications to image/video analysis and communication systems. His research is focused on developing novel algorithms to analyze and compress signals from multitude of sensors such as visible/infra-red/hyperspectral cameras, microphones, passive infra-red sensors, vibration sensors and spectrum sensors for wireless communications.Steven Verstockt received his Master degree in Informatics from Ghent University in 2003. Following up on his studies in applied informatics, he began teaching Multimedia courses at Hogeschool Gent and at the end of 2007, he joined the ELIT Lab of the University College West-Flanders as a researcher. In 2008, he started a PhD on video fire analysis at the Multimedia Lab of the Department of Electronics and Information Systems of Ghent University - iMinds (Belgium). Since 2012 he worked as a post-doctoral researcher in this lab focusing on multi-sensor fire analysis. In October 2015 he was appointed a tenure track position as Assistant Professor in Multimedia at the same lab.
Table of Contents
2. Camera Based Techniques
3. Infrared Sensor Based Flame Detection
4. Multi-Sensor Fire Analysis