Video-Based Surveillance Systems: Computer Vision and Distributed Processing

Video-Based Surveillance Systems: Computer Vision and Distributed Processing

Video-Based Surveillance Systems: Computer Vision and Distributed Processing

Video-Based Surveillance Systems: Computer Vision and Distributed Processing

Hardcover(2002)

$219.99 
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Overview

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.

Product Details

ISBN-13: 9780792376323
Publisher: Springer US
Publication date: 12/31/2001
Edition description: 2002
Pages: 279
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

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 Shastic 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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