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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
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Computational Intelligence for Multimedia Understanding - International Workshop, MUSCLE 2011, Pisa, Italy, December 13-15, 2011, Revised Selected Papers (Paperback, 2012 ed.)
Emanuele Salerno, A. Enis Cetin, Ovidio Salvetti
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R1,990
Discovery Miles 19 900
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the International
Workshop MUSCLE 2011 on Computational Intelligence for Multimedia
Understanding, organized by the ERCIM working group in Pisa, Italy
on December 2011. The 18 revised full papers were carefully
reviewed and selected from over numerous submissions. The papers
cover the following topics: multisensor systems, multimodal
analysis, crossmodel data analysis and clustering, mixed-reality
applications, activity and object detection and recognition, text
and speech recognition, multimedia labelling, semantic annotation,
and metadata, multimodal indexing and searching in very large
data-bases; and case studies.
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