Automated Multi-Camera Surveillance: Algorithms and Practice
The deployment of surveillance systems has captured the interest of both the research and the industrial worlds in recent years. The aim of this effort is to increase security and safety in several application domains such as national security, home and b
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The International Series in Video Computing Series Editor:
Mubarak Shah, Ph.D University of Central Florida Orlando, Florida
Automated Multi-Camera Surveillance Algorithms and Practice
Omar Javed ObjectVideo Inc. Reston, Virginia, USA
Mubarak Shah University of Central Florida Orlando, Florida, US
123
Omar Javed ObjectVideo Inc. Reston, VA 20191, USA
Mubarak Shah University of Central Florida Orlando, FL 32816, USA
ISSN: 1571-5205 e-ISBN: 978-0-387-78881-4 ISBN: 978-0-387-78880-7 DOI: 10.1007/978-0-387-78881-4 Library of Congress Control Number: 2008930788 ยค 2008 Springer Science+Business Media, LLC All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper springer.com
To Captain Michael Holloway, Orlando Police Department (retired), who introduced us to video surveillance and provided enthusiastic support. Omar Javed & Mubarak Shah
To my late father Mahmud Javed, who was always there for me; to my mother Dure-Shahwar who taught me the meaning of unconditional love, and to my wife Laila, who constantly brings joy to my life. Omar Javed
Contents
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AUTOMATED VIDEO SURVEILLANCE . . . . . . . . . . . . . . . . . . . . . . . . 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Automated Systems for Video Surveillance . . . . . . . . . . . . . . . . . . . . . 1.3 Automated Surveillance System Tasks and Related Technical Challenges . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3.1 Object Detection and Categorization . . . . . . . . . . . . . . . . . . . . 1.3.2 Tracking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3.3 Tracking Across Cameras . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3.4 General Challenges . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4 Introduction to the Proposed Video Understanding Algorithms for Surveillance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.5 Book Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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IDENTIFYING REGIONS OF INTEREST IN IMAGE SEQUENCES 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.2 General Problems in Backgro
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