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Autor(en): 
  • Mubarak Shah
  • Omar Javed
  • Automated Multi-Camera Surveillance: Algorithms and Practice 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  September 2008  
    Genre:  EDV / Informatik 
     
    angewandte informatik / Application software / Artificial Intelligence / Automated Pattern Recognition / B / Computer and Information Systems Applications / Computer Applications / Computer Imaging, Vision, Pattern Recognition and Graphics
    ISBN:  9780387788807 
    EAN-Code: 
    9780387788807 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #10 - The International Series in Video Computing  
    Dimensionen:  H 235 mm / B 155 mm / D 11 mm 
    Gewicht:  344 gr 
    Seiten:  110 
    Illustration:  X, 110 p. 47 illus., schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The recent development of intelligent surveillance systems has captured the interest of both academic research labs and industry. Automated Multi-Camera Surveillance addresses monitoring of people and vehicles, and detection of threatening objects and events in a variety of scenarios. In this book, techniques for development of an automated multi-camera surveillance system are discussed and proposed. The state-of-the-art in the automated surveillance systems is reviewed as well. Detailed explanation of sub-components of surveillance systems are provided, and enhancements to each of these components are proposed. The authors identify important challenges that such a system must address, and propose solutions. Development of a specific surveillance system called "KNIGHT" is described, along with the authors' experience using it. This book enables the reader to understand the mathematical models and algorithms underlying automated surveillance as well as the benefits and limitations of using such methods.
      



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