Distributed Video Sensor Networks (Record no. 105136)

000 -LEADER
fixed length control field 07102nam a22006015i 4500
001 - CONTROL NUMBER
control field 978-0-85729-127-1
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083712.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110103s2011 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780857291271
-- 978-0-85729-127-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-0-85729-127-1
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1637-1638
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1637-1638
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM012000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM016000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.6
Edition number 23
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bhanu, Bir.
Relator term editor.
245 10 - TITLE STATEMENT
Title Distributed Video Sensor Networks
Medium [electronic resource] /
Statement of responsibility, etc edited by Bir Bhanu, Chinya V. Ravishankar, Amit K. Roy-Chowdhury, Hamid Aghajan, Demetri Terzopoulos.
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2011.
300 ## - PHYSICAL DESCRIPTION
Extent XVII, 485p.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
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-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Part I: Distributed Video Sensor Networks and Research Challenges -- Report on NSF/ARO/ONR Workshop on Distributed Camera Networks -- Part II: Video Processing and Understanding -- Motion Analysis: Past, Present and Future -- Projective Joint Invariants for Matching Curves in Camera Networks -- Multiple-view Object Recognition in Smart Camera Networks -- A Comparison of Techniques for Camera Selection and Handoff in a Video Network -- Tracking of Multiple Objects Over Camera Networks with Overlapping and Nonoverlapping Views -- Toward Robust Online Visual Tracking -- Modeling Patterns of Activity and Detecting Abnormal Events with Low-level Co-occurrences -- Use of Context in Video Processing -- Part III: Simulation, Graphics, Cognition and Video Networks -- Virtual Vision -- Virtualization and Programming Support for Video Sensor Networks with Application to Wireless and Physical Security -- Simulating Human Activities for Synthetic Inputs to Sensor Systems -- Cognitive Sensor Networks -- Ubiquitous Displays -- Part IV: Wireless Video Sensor Networks, Communications and Control -- Research Challenges for Wireless Multimedia Sensor Networks -- Camera Control and Georegistration for Video Sensor Networks -- Persistent Observation of Dynamic Scenes in an Active Camera Network -- Proactive PTZ Camera Control -- Distributed Consensus Algorithms for Image-based Localization in Camera Sensor Networks -- Conditional Posterior Cramér-rao Lower Bound and its Applications in Adaptive Sensor Management -- Part V: Distributed Embedded Cameras and Real-Time Video Analysis -- VideoWeb -- VideoWeb Dataset for Multicamera Activities and Nonverbal Communication -- Wide-Area Persistent Airborne Video -- Collaborative Face Recognition Using a Network of Embedded Cameras -- SATWARE -- Part VI: Distributed Video Networks – Applications -- Video Analytics For Force Protection -- Recognizing Activity Structures in Massive Numbers of Simple Events Over Large Areas -- Distributed Sensor Networks for Visual Surveillance -- Ascertaining Human Identity in Night Environments -- Part VII: Educational Opportunities and Curriculum Development -- Educational Opportunities in Video Sensor Networks.
520 ## - SUMMARY, ETC.
Summary, etc Large-scale video networks are of increasing importance in a wide range of applications. However, the development of automated techniques for aggregating and interpreting information from multiple video streams in real-life scenarios is a challenging area of research. Collecting the work of leading researchers from a broad range of disciplines, this timely text/reference offers an in-depth survey of the state of the art in distributed camera networks. The book addresses a broad spectrum of critical issues in this highly interdisciplinary field: current challenges and future directions; video processing and video understanding; simulation, graphics, cognition and video networks; wireless video sensor networks, communications and control; embedded cameras and real-time video analysis; applications of distributed video networks; and educational opportunities and curriculum-development. Topics and features: Presents an overview of research in areas of motion analysis, invariants, multiple cameras for detection, object tracking and recognition, and activities in video networks Provides real-world applications of distributed video networks, including force protection, wide area activities, port security, and recognition in night-time environments Describes the challenges in graphics and simulation, covering virtual vision, network security, human activities, cognitive architecture, and displays Examines issues of multimedia networks, registration, control of cameras (in simulations and real networks), localization and bounds on tracking Discusses system aspects of video networks, with chapters on providing testbed environments, data collection on activities, new integrated sensors for airborne sensors, face recognition, and building sentient spaces Investigates educational opportunities and curriculum development from the perspective of computer science and electrical engineering This unique text will be of great interest to researchers and graduate students of computer vision and pattern recognition, computer graphics and simulation, image processing and embedded systems, and communications, networks and controls. The large number of example applications will also appeal to application engineers. Dr. Bir Bhanu is Distinguished Professor of Electrical Engineering, and Director of the Center for Research in Intelligent Systems, at the University of California, Riverside (UCR), USA. Dr. Chinya V. Ravishankar is a Professor in the Department of Computer Science and Engineering, and Dr. Amit K. Roy-Chowdhury is an Associate Professor in the Department of Electrical Engineering, also both at UCR. Dr. Hamid Aghajan is a Professor of Electrical Engineering (Consulting) at Stanford University, USA. Dr. Demetri Terzopoulos is Chancellor's Professor of Computer Science at the University of California, Los Angeles, USA.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Communication Networks.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer graphics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Optical pattern recognition.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Image Processing and Computer Vision.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern Recognition.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Graphics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Communication Networks.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ravishankar, Chinya V.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Roy-Chowdhury, Amit K.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Aghajan, Hamid.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Terzopoulos, Demetri.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9780857291264
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-0-85729-127-1
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