Multisensor Surveillance Systems: The Fusion Perspective

Overview

This compilation focuses on multisensor fusion aspects of video monitoring and surveillance. It addresses several current research and application issues by providing a selective set of invited contributions on topics ranging from complex event detection and human behavior understanding to biometric feature extraction for combatting terrorism. Contributors to this volume are from the leading international laboratories in the field of video surveillance. The authors include coverage of numerous technical problems ...

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Overview

This compilation focuses on multisensor fusion aspects of video monitoring and surveillance. It addresses several current research and application issues by providing a selective set of invited contributions on topics ranging from complex event detection and human behavior understanding to biometric feature extraction for combatting terrorism. Contributors to this volume are from the leading international laboratories in the field of video surveillance. The authors include coverage of numerous technical problems related to image monitoring of complex sites using multiple sensors, and apply cutting edge techniques to actual problems in different environments. Multisensor Surveillance Systems: The Fusion Perspective is intended for researchers and technical personnel involved in the design of video surveillance systems in the fields of transportation and security services. Professionals and advanced level students with an interest in computer-based analysis of video sequences, intelligent transport systems, and related areas will find this work especially useful.

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Product Details

  • ISBN-13: 9781461350439
  • Publisher: Springer US
  • Publication date: 4/30/2013
  • Edition description: Softcover reprint of the original 1st ed. 2003
  • Edition number: 1
  • Pages: 289
  • Product dimensions: 6.14 (w) x 9.21 (h) x 0.65 (d)

Table of Contents

Preface. Acknowledgements.
I: Multisensor Fusion in Surveillance Systems; P.K. Varshney. 1. A Distributed Sensor Network For Video Surveillance Of Outdoors; G.L. Foresti, L. Snidaro. 2. Distributed Metadata Extraction Strategies In A Multiresolution Dual Camera System; L. Marcenaro, L. Marchesotti, C.Regazzoni. 3. Automatic Target Acquisition and Tracking with Cooperative Fixed and PTZ Video Cameras; B. Abidi, A. Koschan, S. Kang, M. Mitckes, M. Abidi. 4. Learning the fusion of video data streams: Automatic calibration and registration of surveillance cameras; J. Renno, P. Remagnino, G.A. Jones. 5. Image Fusion Using The Expectation-Maximization Algorithm And A Gaussian Mixture model; R.S. Blum, J. Yang. 6. Video-Based Surveillance for Chem-Bio Protection of Buildings; I. Pavlidis, C. Stathopoulos, T. Faltesek.
II: Detection, Tracking and Recognition; G.L. Foresti. 1. Second Generation Prefiltering for Video Compression and Analysis in Multisensor Surveillance Systems; F. Ziliani, J. Reichel. 2. Acquiring Multi-View Video with an Active Camera System; R.T. Collins, O. Amidi, T. Kanade. 3. Computational framework for simultaneous real-time high-level video representation - Extraction of moving objects and related events; A. Amer. 4. Multicamera surveillance: Object-based summarization approach; F. Porikli. 5. Detecting dangerous behaviors of mobile objects in parking areas; G.L. Foresti, G. Giacinto, F. Roli.
III: Biometrics in Surveillance Systems; C.S. Regazzoni. 1. Biometric feature extraction in a multi-camera surveillance system; S.L. Dockstader, A.M. Tekalp. 2. Fusion of Face Recognition Algorithms for Video-Based Surveillance Systems; G.L. Marcialis, F. Roli. 3. Information theory based face tracking; E. Loutas, C. Nikou, I. Pitas. 4. Optimum fusion rules for multimodal biometric systems; L. Osadciw, P. Varshney, K. Veeramacheneni. Index.

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