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Title: Multimodal Surveillance: Sensors, Algorithms, and Systems Authors: Zhigang Zhu, Thomas S. Huang Publisher: Artech House Publishers Hardcove: 448 pages Pubdate: 31 July 2007 ISBN: 1596931841 |
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Editorial Review
From front-end sensors to systems and environmental issues, this practical resource guides you through the many facets of multimodal surveillance. The book examines thermal, vibration, video, and audio sensors in a broad context of civilian and military applications. This cutting-edge volume provides an in-depth treatment of data fusion algorithms that takes you to the core of multimodal surveillance, biometrics, and sentient computing. The book discusses such people and activity topics as tracking people and vehicles and identifying individuals by their speech.
Systems designers benefit from discussions on 3-D scene and automatic modeling, high-end sensors for long-range tracking or high-fidelity, and low-cost sensor solutions. Developers gain new insight into architectures, frameworks, workbenches, real-time performance, and systems evaluation. Bringing together the work of leading international experts, this book is your authoritative reference on multimodal applications, methodologies, and systems implementation.
About the Authors
Zhigang Zhu is an associate professor in the Computer Science Department, City College of New York. An associate editor of Machine Vision and Applications Journal, he has been involved in organizing such meetings as the IEEE Virtual Reality Conference, the International Workshop on Digital and Computational Video, and the IEEE International Workshop on Image and Video Registration. He received his M.E. and Ph.D. in computer science from Tsinghua University, Beijing.
Thomas Huang is the William L. Everitt Distinguished Professor of the Department of Electrical and Computer Engineering and of the Coordinated Science Lab at the University of Illinois at Champaign-Urbana. A frequent keynote speaker at professional and academic conferences, he has garnered many professional honors including the Honda Lifetime Achievement Award, IEEE Third Millennium Medal, and the IEEE Jack S. Kilby Signal Processing Medal. He holds an M.S. and Sc.D. in electrical engineering from M.I.T. |
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Multimodal Surveillance: Sensors, Algorithms,
and Systems
