Ebook: Multisensor Surveillance Systems: The Fusion Perspective

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.

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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 combating 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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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 combating 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.
Content:
Front Matter....Pages i-xiii
Front Matter....Pages 1-5
A Distributed Sensor Network for Video Surveillance of Outdoors....Pages 7-27
Distributed Metadata Extraction Strategies in a Multi-Resolution Dual Camera System....Pages 29-41
Automatic Target Acquisition and Tracking with Cooperative Fixed and PTZ Video Cameras....Pages 43-59
Learning the Fusion of Video Data Streams....Pages 61-79
Image Fusion Using the Expectation-Maximization Algorithm and a Gaussian Mixture Model....Pages 81-95
Video-Based Surveillance for Chem-Bio Protection of Buildings....Pages 97-111
Front Matter....Pages 113-117
Second Generation Prefiltering for Video Compression and Analysis in Multisensor Surveillance Systems....Pages 119-133
Acquiring Multi-View Video with an Active Camera System....Pages 135-147
A Computational Framework for Simultaneous Real-Time High-Level Video Representation....Pages 149-181
Multi-Camera Surveillance....Pages 183-198
Detecting Dangerous Behaviors of Mobile Objects in Parking Areas....Pages 199-211
Front Matter....Pages 213-217
Biometric Feature Extraction in a Multi-Camera Surveillance System....Pages 219-234
Fusion of Face Recognition Algorithms for Video-Based Surveillance Systems....Pages 235-249
Information Theory Based Face Tracking....Pages 251-263
Optimum Fusion Rules for Multimodal Biometric Systems....Pages 265-285
Back Matter....Pages 287-289

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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 combating 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.
Content:
Front Matter....Pages i-xiii
Front Matter....Pages 1-5
A Distributed Sensor Network for Video Surveillance of Outdoors....Pages 7-27
Distributed Metadata Extraction Strategies in a Multi-Resolution Dual Camera System....Pages 29-41
Automatic Target Acquisition and Tracking with Cooperative Fixed and PTZ Video Cameras....Pages 43-59
Learning the Fusion of Video Data Streams....Pages 61-79
Image Fusion Using the Expectation-Maximization Algorithm and a Gaussian Mixture Model....Pages 81-95
Video-Based Surveillance for Chem-Bio Protection of Buildings....Pages 97-111
Front Matter....Pages 113-117
Second Generation Prefiltering for Video Compression and Analysis in Multisensor Surveillance Systems....Pages 119-133
Acquiring Multi-View Video with an Active Camera System....Pages 135-147
A Computational Framework for Simultaneous Real-Time High-Level Video Representation....Pages 149-181
Multi-Camera Surveillance....Pages 183-198
Detecting Dangerous Behaviors of Mobile Objects in Parking Areas....Pages 199-211
Front Matter....Pages 213-217
Biometric Feature Extraction in a Multi-Camera Surveillance System....Pages 219-234
Fusion of Face Recognition Algorithms for Video-Based Surveillance Systems....Pages 235-249
Information Theory Based Face Tracking....Pages 251-263
Optimum Fusion Rules for Multimodal Biometric Systems....Pages 265-285
Back Matter....Pages 287-289
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