Table of Contents

I Industrial Applications.- 1 Real-time Video Analysis at Siemens Corporate Research.- 2 Aerial Video Surveillance and Exploitation.- 3 Two Examples of Indoor and Outdoor Surveillance Systems.- 4 Visual Surveillance in Retail Stores and in the Home.- II Detection and Tracking.- 5 Detecting and Tracking People in Complex Scenes.- 6 Bayesian Modality Fusion for Tracking Multiple People with a Multi- Camera System.- 7 Tracking Groups of People for Video Surveillance.- 8 Colour-Invariant Motion Detection under Fast Illumination Changes.- 9 Face and Facial Feature Tracking: Using the Active Appearance Algorithm.- 10 Object Tracking and Shoslif Tree Based Classification using Shape and Colour Features.- 11 An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection.- 12 The Sakbot System for Moving Object Detection and Tracking.- 13 Assessment of Image Processing Techniques as a means of Improv- ing Personal Security in Public Transport.- 14 On the use of Colour Filtering in an Integrated Real-Time People Tracking System.- III Event Detection and Analysis.- 15 Modelling and Recognition of Human Actions using a Stochastic Approach.- 16 VIGILANT: Content-Querying of Video Surveillance Streams.- 17 Evaluation of a Self-learning Event Detector.- 18 Automated Detection of Localized Visual Events over varying Temporal Scales.- 19 Real-Time Visual Recognition of Dynamic Arm Gestures.- IV Distributed Architectures.- 20 Distributed Multi-Sensor Surveillance: Issues and recent advances.- 21 Intelligence Distribution of a Third Generation People Counting System Transmitting Information over an Urban Digital Radio Link.- 22 A Comparison between Continuous and Burst Recognition-driven Transmission Policies in Distributed 3G Surveillance Systems.

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