Methods and Techniques for Fire Detection (ePub)
This book will serve as a...
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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
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
- Autoren: A. Enis Cetin , Bart Merci , Osman Günay , Behçet Ugur Töreyin , Steven Verstockt
- 2016, 95 Seiten, Englisch
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0128026170
- ISBN-13: 9780128026175
- Erscheinungsdatum: 29.01.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 5.71 MB
- Mit Kopierschutz
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