Video-Based Surveillance Systems: Computer Vision and Distributed Processing

ISBN-13: 9780792376323 / Angielski / Twarda / 2001 / 279 str.

Paolo Remagnino; Graeme A. Jones; Nikos Paragios

Opis

Monitoring of public and private sites has increasingly become a very sensitive issue resulting in a patchwork of privacy laws varying from country to country -though all aimed at protecting the privacy of the citizen. It is important to remember, however, that monitoring and vi sual surveillance capabilities can also be employed to aid the citizen. The focus of current development is primarily aimed at public and cor porate safety applications including the monitoring of railway stations, airports, and inaccessible or dangerous environments. Future research effort, however, has already targeted citizen-oriented applications such as monitoring assistants for the aged and infirm, route-planning and congestion-avoidance tools, and a range of environment al monitoring applications. The latest generation of surveillance systems has eagerly adopted re cent technological developments to produce a fully digital pipeline of digital image acquisition, digital data transmission and digital record ing. The resultant surveillance products are highly-fiexihle, capahle of generating forensic-quality imagery, and ahle to exploit existing Internet and wide area network services to provide remote monitoring capability."

Spis treści

Part I: Industrial Applications. 1. Real-time Video Analysis at Siemens Corporate Research; N. Paragios, et al. 2. Aerial Video Surveillance and Exploitation; R. Kumar. 3. Two Examples of Indoor and Outdoor Surveillance Systems; I. Pavlidis, V. Morellas. 4. Visual Surveillance in Retail Stores and in the Home; T. Brodsky, et al. Part II: Detection and Tracking. 5. Detecting and Tracking People in Complex Scenes; Y. Kuno. 6. Bayesian Modality Fusion for Tracking Multiple People with a Multi-Camera System; T.-H. Chang, S. Gong. 7. Tracking Groups of People for Video Surveillance; F. Cupillard, et al. 8. Colour-Invariant Motion Detection under Fast Illumination Changes; M. Xu, T. Ellis. 9. Face and Facial Feature Tracking: Using the Active Appearance Algorithm; J. Ahlberg. 10. Object Tracking and Shoslif Tree Based Classification using Shape and Colour Features; L. Marcenaro, et al. 11. An Improved Adaptive Background Mixture Model for Real-Time Tracking with Shadow Detection; P. KaewTraKulPong, R. Bowden. 12. The Sakbot System for Moving Object Detection and Tracking; R. Cucchiara, et al. 13. Assessment of Image Processing Techniques as a means of Improving Personal Security in Public Transport; L.M. Fuentes, S.A. Velastin. 14. On the use of Colour Filtering in an Integrated Real-Time People Tracking System; N.T. Siebel, S.J. Maybank. Part III: Event Detection and Analysis. 15. Modelling and Recognition of Human Actions using a Stochastic Approach; E.B. Koller-Meier, L. Van Gool. 16. VIGILANT: Content-Querying of Video Surveillance Streams; D. Greenhill, et al. 17. Evaluation of a Self-learning Event Detector; C. Kaas, et al. 18. Automated Detection of Localized Visual Events over varying Temporal Scales; J. Sherrah, S. Gong. 19. Real-Time Visual Recognition of Dynamic Arm Gestures; H.H. Aviles-Arriaga, L.E. Sucar-Succar. Part IV: Distributed Architectures. 20. Distributed Multi-Sensor Surveillance: Issues and recent advances; P.K. Varshney, I.L. Coman. 21. Intelligence Distribution of a Third Generation People Counting System Transmitting Information over an Urban Digital Radio Link; C.S. Regazzoni, et al. 22. A Comparison between Continuous and Burst Recognition-driven Transmission Policies in Distributed 3G Surveillance Systems; F. Oberti, et al. Index.