Skip to main content
SpringerLink
Log in
Book cover

Automated Multi-Camera Surveillance

Algorithms and Practice

  • Book
  • © 2008

Overview

Authors:
  1. Omar Javed

    1. Dept. Computer Science, University of Central Florida, Orlando, U.S.A.

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Mubarak Shah

    1. Dept. Computer Science, University of Central Florida, Orlando, U.S.A.

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • State-of-the-art review of automated visual surveillance
  • Hitherto unsolved issues in automation of surveillance
  • New algorithms for each component of automatic surveillance including object detection, single and multi-sensor tracking, classification and event analysis
  • Usage scenarios and expected results for automatic surveillance systems

Part of the book series: The International Series in Video Computing (VICO, volume 10)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (7 chapters)

  1. Front Matter

    Pages 1-8
    Download chapter PDF

  2. Automated Video Surveillance

    • Omar Javed, Mubarak Shah
    Pages 1-9

  3. Identifying Regions of Interest in Image Sequences

    • Omar Javed, Mubarak Shah
    Pages 1-18

  4. Object Detection and Categorization

    • Omar Javed, Mubarak Shah
    Pages 1-15

  5. Object Tracking in a Single Camera

    • Omar Javed, Mubarak Shah
    Pages 1-13

  6. Tracking in Multiple Cameras with Disjoint Views

    • Omar Javed, Mubarak Shah
    Pages 1-26

  7. Knight Surveillance System Deployment

    • Omar Javed, Mubarak Shah
    Pages 1-5

  8. Concluding Remarks

    • Omar Javed, Mubarak Shah
    Pages 1-10

  9. Back Matter

    Pages 1-2
    Download chapter PDF
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • Dept. Computer Science, University of Central Florida, Orlando, U.S.A.

    Omar Javed, Mubarak Shah

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation