Intelligent Video Surveillance: Systems and Technology PDF
Preview Intelligent Video Surveillance: Systems and Technology
Intelligent Video Surveillance Systems and Technology Intelligent Video Surveillance Systems and Technology Edited by Yunqian Ma and Gang Qian MATLAB® is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant the accuracy of the text or exercises in this book. This book’s use or discussion of MATLAB® software or related products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach or particular use of the MATLAB® software. CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 CRC Press is an imprint of Taylor & Francis Group, an Informa business No claim to original U.S. Government works Printed in the United States of America on acid-free paper 10 9 8 7 6 5 4 3 2 1 International Standard Book Number: 978-1-4398-1328-7 (Hardback) This book contains information obtained from authentic and highly regarded sources. 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For permission to photocopy or use material electronically from this work, please access www.copyright.com (http:// www.copyright.com/) or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. CCC is a not-for-profit organization that provides licenses and registration for a variety of users. For organizations that have been granted a photocopy license by the CCC, a separate system of payment has been arranged. Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe. Library of Congress Cataloging-in-Publication Data Intelligent video surveillance : systems and technology / edited by Yunqian Ma, Gang Qian. p. cm. Includes bibliographical references and index. ISBN 978-1-4398-1328-7 1. Video surveillance. I. Ma, Yunqian. II. Qian, G. (Gang), 1973- III. Title. TK6680.3.I58 2010 621.389’28--dc22 2009027792 Visit the Taylor & Francis Web site at http://www.taylorandfrancis.com and the CRC Press Web site at http://www.crcpress.com Contents Preface ......................................................................................ix Editors ....................................................................................xiii Contributors .............................................................................xv Part I Background, Introduction, and Foundation Chapter 1 Introduction ..............................................................3 Yunqian Ma and Gang Qian Chapter 2 Fundamentals of Intelligent Video Surveillance ...........13 Gang Qian and Yunqian Ma Chapter 3 Case Study: IBM Smart Surveillance System ..............47 Rogerio S. Feris, Arun Hampapur, Yun Zhai, Russell Bobbitt, Lisa Brown, Daniel A. Vaquero, Ying-li Tian, Haowei Liu, and Ming-Ting Sun v vi Contents Part II Detection and Tracking Chapter 4 Adaptive Background Modeling and Subtraction: A Density-Based Approach with Multiple Features ......79 Bohyung Han and Larry S. Davis Chapter 5 Pedestrian Detection and Tracking ..........................105 Bo Wu and Ram Nevatia Chapter 6 Vehicle Tracking and Recognition ...........................149 Guoliang Fan, Xin Fan, Vijay Venkataraman, and Joseph P. Havlicek Chapter 7 Articulated Human Motion Tracking .......................181 Gang Qian and Feng Guo Part III Activity Recognition Chapter 8 Human Action Recognition ....................................225 Xinyu Xu and Baoxin Li Chapter 9 Complex Activity Recognition ................................251 Justin Muncaster and Yunqian Ma Chapter 10 Multi-Level Human Interaction Recognition .............273 Sangho Park and Mohan M. Trivedi Part IV Camera Networks Chapter 11 Multi-Camera Calibration and Global Trajectory Fusion ...................................................305 Nadeem Anjum and Andrea Cavallaro Contents vii Chapter 12 Dynamic Camera Assignment and Handoff .............333 Bir Bhanu and Yiming Li Chapter 13 Quality-Based Multisensor Fusion ...........................359 Lauro Snidaro, Ingrid Visentini, and Gian Luca Foresti Part V Systems and Applications Chapter 14 Attribute-Based People Search ...............................387 Daniel A. Vaquero, Rogerio S. Feris, Lisa Brown, Arun Hampapur, and Matthew Turk Chapter 15 Soft Biometrics for Video Surveillance .....................407 Yun Fu, Guodong Guo, and Thomas S. Huang Chapter 16 An Effi cient System of Detection and Tracking of Moving Objects from Airborne Videos .................433 Qian Yu, Yuping Lin, and Gérard Medioni Chapter 17 Urban 3D Reconstruction ......................................481 Jan-Michael Frahm and Marc Pollefeys Preface This book presents state-of-the-art technologies and systems on intel- ligent video surveillance. More than just a collection of individual research articles, this book brings together key research and applica- tion themes of intelligent video surveillance in an integrated manner by exploring interconnections and relationships among and common theoretical foundations underlying these themes. Nowadays, surveillance cameras are omnipresent in our daily lives. We are amazed by the fact that surveillance cameras are present at almost every moment of our everyday lives, and by the fast pace at which more of such cameras are being added. From streets in London to subway stations in New York City, from taxis in Redditch to nurs- ing homes in Pittsburgh, hundreds of thousands of surveillance cam- eras are collecting videos, many of them 24/7, for crime preventing/ alarming/evidencing, traffi c/parking monitoring, and health/safety monitoring. A question that has come to us is how such vast volumes of video data are stored, analyzed, indexed, and searched. This book is the result of our effort in trying to partially answer the question, that is, what the most recent advances are in automated intelligent analysis of surveillance video. In our journey to answer this question, it became clear that although numerous algorithms and systems have been reported in prestigious conferences and journals, what is lacking is a book that examines the fundamental principles of existing intelligent video ix x Preface surveillance systems, and provides a solid theoretical and practical treatment to the algorithmic design and system implementation for intelligent video s urveillance, and a book that can be found useful by practitioners and researchers, as well as educators and students in the area. From the very beginning, this book was planned to fulfi ll this need. This book delivers a unique treatment to state-of-the-art intelligent video surveillance technologies and systems, including computational principles behind and connections among these technologies and sys- tems, important system implementation issues, and examples of suc- cessful applications of these technologies. For readers who are new to video surveillance, this book provides an excellent entry point with a high-level introductory view of the topic as well as an in-depth discus- sion of key technical details. For researchers already engaged in this fi eld of work, this book is a handy reference summarizing the up-to-date advances and future directions. For practitioners, this book addresses practical implementation issues for intelligent video surveillance and offers examples of successful systems. We would like to sincerely thank all the contributors of this book for presenting their research in an easily accessible manner, and for put- ting such discussion into a historical context. We would like to thank Mark Listewnik, Richard A. O’Hanley, and Amy Blalock of Auerbach Publications/CRC Press of Taylor & Francis Group for their strong support of this book. Yunqian Ma would like to thank his numerous colleagues at Honeywell Labs for providing a research and develop- ment environment. Gang Qian would like to thank his colleagues at the School of Arts, Media and Engineering and the School of Electrical, Computer and Energy Engineering at Arizona State University, Tempe, and the National Science Foundation for their continuing support of his research. Yunqian Ma Golden Valley, Minnesota Gang Qian Tempe, Arizona
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