Multisensor Surveillance Systems The Fusion Perspective

Multisensor Surveillance Systems The Fusion Perspective / edited by Gian Luca Foresti, Carlo S. Regazzoni, Pramod K. Varshney.

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 d...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Foresti, Gian Luca (Editor), Regazzoni, Carlo S. (Editor), Varshney, Pramod K. (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2003.
Edition:1st ed. 2003.
Series:Springer eBook Collection.
Subjects:
Optical data processing.
Signal processing.
Image processing.
Speech processing systems.
Statistics .
Electrical engineering.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • I Multisensor Fusion on Surveillance Systems
  • 1 A Distributed Sensor Network for Video Surveillance of Outdoors
  • 2 Distributed Metadata Extraction Strategies in a Multiresolution Dual Camera System
  • 3 Automatic Target Acquisition and Tracking With Cooperative Fixed And PTZ Video Cameras
  • 4 Learning the Fusion of Video Data Streams: Automatic Calibration And Registration of Surveillance Cameras
  • 5 Image Fusion Using the Expectation-Maximization Algorithm and a Gaussian Mixture Model
  • 6 Video-Based Surveillance for Chem-Bio Protection of Buildings
  • II Detection, Tracking and Recognition
  • 7 Second Generation Prefiltering for Video Compression and Analysis in Multisensor Surveillance Systems
  • 8 Acquiring Multi-View Video With an Active Camera System
  • 9 Computational Framework for Simultaneous Real-Time High-Level Video Representation —Extraction of Moving Objects and Related Events
  • 10 Multicamera Surveillance: Object-Based Summarization Approach
  • 11 Detecting Dangerous Behaviors of Mobile Objects in Parking Areas
  • III Biometrics in Surveillance Systems
  • 12 Biometric Feature Extraction in a Multi-Camera Surveillance System
  • 13 Fusion of Face Recognition Algorithms for Video-Based Surveillance Systems
  • 14 Information Theory Based Face Tracking
  • 15 Optimum Fusion Rules for Multimodal Biometric Systems.

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