Cantitate/Preț
Produs

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

Autor A. Enis Cetin, Bart Merci, Osman Günay, Behçet Ugur Töreyin, Steven Verstockt
en Limba Engleză Hardback – 28 ian 2016
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
Citește tot Restrânge

Preț: 32655 lei

Preț vechi: 35494 lei
-8% Nou

Puncte Express: 490

Preț estimativ în valută:
6250 6593$ 5208£

Carte tipărită la comandă

Livrare economică 27 decembrie 24 - 10 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780128023990
ISBN-10: 0128023996
Pagini: 95
Dimensiuni: 152 x 229 x 13 mm
Greutate: 0.32 kg
Editura: ELSEVIER SCIENCE

Public țintă

Graduate students, researchers and industry engineers working on signal processing and computer vision- based techniques for detection in safety and security domains

Cuprins

1. Introduction
2. Camera Based Techniques
3. Infrared Sensor Based Flame Detection
4. Multi-Sensor Fire Analysis
5. Conclusions