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Cover image for Multisensor surveillance systems : the fusion perspective
Title:
Multisensor surveillance systems : the fusion perspective
Publication Information:
Norwell, Mass. : Kluwer Academic Pubs, 2003
ISBN:
9781402074929

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Material Type
Item Category 1
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30000010038840 TK7882.E2 M84 2003 Open Access Book Book
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Summary

Summary

Monitoring of public and private sites is increasingly becoming a very important and critical issue, especially after the recent flurry of terrorist attacks including the one on the Word Trade Center in September 2001. It is, therefore, imperative that effective multisensor surveillance systems be developed to protect the society from similar attacks in the future. The new generation of surveillance systems to be developed have a specific requirement: they must be able to automatically identify criminal and terrorist activity without sacrificing individual privacy to the extent possible. Privacy laws concerning monitoring and surveillance systems vary from country to country but, in general, they try to protect the privacy of their citizens. Monitoring and visual surveillance has numerous other applications. It can be employed to help invalids or handicapped and to monitor the activities of elderly people. It can be used to monitor large events such as sporting events, as well. Nowadays, monitoring is employ~d in several different contexts including transport applications, such as monitoring of railway stations and airports, dangerous environments like nuclear facilities or traffic flows on roads and bridges. The latest generation of surveillance systems mainly rely on hybrid analog-digital, or completely digital video communications and processing methods and take advantage of the greater of flexibility offered by video processing algorithms that are capable focusing a human operator's attention on a set of interesting situations.


Table of Contents

P.K. VarshneyG.L. Foresti and L. SnidaroL. Marcenaro and L. Marchesotti and C. RegazzoniB. Abidi and A. Koschan and S. Kang and M. Mitckes and M. AbidiJ. Renno and P. Remagnino and G.A. JonesR. S. Blum and J. YangI. Pavlidis and C. Stathopoulos and T. FaltesekG.L. ForestiF. Ziliani and J. ReichelR.T. Collins and O. Amidi and T. KanadeA. AmerF. PorikliG.L. Foresti and G. Giacinto and F. RoliC.S. RegazzoniS.L. Dockstader and A. M. TekalpG.L. Marcialis and F. RoliE. Loutas and C. Nikou and I. PitasL. Osadciw and P. Varshney and K. Veeramacheneni
Prefacep. ix
Acknowledgementsp. xiii
I Multisensor Fusion in Surveillance Systemsp. 3
1 A Distributed Sensor Network for Video Surveillance of Outdoorsp. 7
2 Distributed Metadata Extraction Strategies in a Multiresolution Dual Camera Systemp. 29
3 Automatic Target Acquisition and Tracking with Cooperative Fixed and Ptz Video Camerasp. 43
4 Learning the Fusion of Video Data Streams: Automatic Calibration and Registration of Surveillance Camerasp. 61
5 Image Fusion Using the Expectation-Maximization Algorithm and a Gaussian Mixture Modelp. 81
6 Video-Based Surveillance for Chem-Bio Protection of Buildingsp. 97
II Detection, Tracking and Recognitionp. 115
7 Second Generation Prefiltering for Video Compression and Analysis in Multisensor Surveillance Systemsp. 119
8 Acquiring Multi-View Video with an Active Camera Systemp. 135
9 Computational Framework for Simultaneous Real-Time High-Level Video Representation--Extraction of Moving Objects and Related Eventsp. 149
10 Multicamera Surveillance: Object-Based Summarization Approachp. 183
11 Detecting Dangerous Behaviors of Mobile Objects in Parking Areasp. 199
III Biometrics in Surveillance Systemsp. 215
12 Biometric Feature Extraction in a Multi-Camera Surveillance Systemp. 219
13 Fusion of Face Recognition Algorithms for Video-Based Surveillance Systemsp. 235
14 Information Theory Based Face Trackingp. 251
15 Optimum Fusion Rules for Multimodal Biometric Systemsp. 265
Indexp. 287
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