Authors:
- 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)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Dept. Computer Science, University of Central Florida, Orlando, U.S.A.
Omar Javed, Mubarak Shah
Bibliographic Information
Book Title: Automated Multi-Camera Surveillance
Book Subtitle: Algorithms and Practice
Authors: Omar Javed, Mubarak Shah
Series Title: The International Series in Video Computing
DOI: https://doi.org/10.1007/978-0-387-78881-4
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2008
Hardcover ISBN: 978-0-387-78880-7Published: 08 September 2008
Softcover ISBN: 978-1-4419-4626-3Published: 08 December 2010
eBook ISBN: 978-0-387-78881-4Published: 16 December 2008
Series ISSN: 1571-5205
Edition Number: 1
Number of Pages: X, 110
Number of Illustrations: 47 b/w illustrations
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Computer Applications