Description
Springer Multisensor Surveillance Systems The Fusion Perspective 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 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. 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.