Video-Based Surveillance Systems: Computer Vision and Distributed Processing

ISBN-13: 9781461353010 / Angielski / Miękka / 2012 / 279 str.

Graeme A. Jones; Nikos Paragios; Carlo S. Regazzoni

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.