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Intelligent Video Surveillance
Systems and Technology




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ISBN 9781439813287
Published December 16, 2009 by CRC Press
590 Pages 322 B/W Illustrations

 
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Book Description

From the streets of London to subway stations in New York City, hundreds of thousands of surveillance cameras ubiquitously collect hundreds of thousands of videos, often running 24/7. How can such vast volumes of video data be stored, analyzed, indexed, and searched? How can advanced video analysis and systems autonomously recognize people and detect targeted activities real-time? Collating and presenting the latest information Intelligent Video Surveillance: Systems and Technology explores these issues, from fundamentals principle to algorithmic design and system implementation.

An Integrated discussion of key research and applications

Written and edited by a collection of industry experts, the book presents state-of-the-art technologies and systems in intelligent video surveillance. The book integrates key research, design, and implementation themes of intelligent video surveillance systems and technology into one comprehensive reference. The chapters cover the computational principles behind the technologies and systems and include system implementation issues as well as examples of successful applications of these technologies.

Builds a foundation for future developments

Changing appearance caused by changing viewpoints, illumination, expression, and movement, self/cross body occlusion, modeling of cluttered background capable of efficient background subtraction for object detection, and spatial and temporal alignment of multiple cameras are just a few of the challenges that remain in further developing and refining intelligent video surveillance technology and systems. Fully illustrated with line art, tables, and photographs demonstrating the collected video and results obtained using the related algorithms, including a color plate section, the book provides a high-level blueprint for advances and insights into future directions of the field.

Table of Contents

Background, Introdution and Foundation

Introduction

Fundamentals for Video Surveillance

Case Study: IBM Smart Surveillance System, R. Feris, A. Hampapur, Y. Zhai, R. Bobbitt, L. Brown, D. Vaquero, Y.-l. Tian, H. Liu, and M.-T. Sun

Detection and Tracking

Adaptive Background Modeling and Subtraction: A Density-based Approach with Multiple Features, B. Han and L.S. Davis

Pedestrian Detection and Tracking, B.Wu and R. Nevatia

Vehicle Tracking and Recognition, G. Fan, X. Fan, V. Venkataraman and J.P. Havlicek

Articulated Human Motion Tracking in Low-Dimensional Latent Spaces, G. Qian and F. Guo

Activity Recognition

Human Action Recognition, X. Xu and B. Li

Complex Activity Recognition, J. Muncaster and Y. Ma

Multi-level Human Interaction Recognition, S. Park and M.M. Trivedi

Camera Networks

Multi-Camera Calibration and Trajectory Fusion, N. Anjum and A. Cavallaro

Dynamic Camera Assignment and Handoff, B. Bhanu and Y. Li

Quality Based Multi-Sensor Fusion, L. Snidaro, I. Visentini, and G.L. Foresti

Systems and Applications

Attribute-Based People Search, D.A. Vaquero, R.S. Feris, L. Brown, A. Hampapur, and M. Turk

Soft Biometrics for Video Surveillance, Y. Fu, G. Guo, and T.S. Huang

Moving Platform System in Geo-coordinates, Q. Yu, Y. Lin and G. Medioni

Urban 3D Reconstruction, J.-M. Frahm and M. Pollefeys

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Editor(s)

Biography

Yunqian Ma is a Principal Scientist for Honeywell Labs. Gang Qian is a Professor of Electrical Engineering at Arizona State University.