//]]>

Human Recognition at a Distance in Video (Record no. 20942)

000 -LEADER
fixed length control field 04829nam a22004695i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151109.0
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 101109s2010 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780857291240
978-0-85729-124-0
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1637-1638
Classification number TA1637-1638
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.6
Edition number 23
Classification number 006.37
Edition number 23
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2010.
912 ## -
-- ZDB-2-SCS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bhanu, Bir.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Human Recognition at a Distance in Video
Medium [electronic resource] /
Statement of responsibility, etc by Bir Bhanu, Ju Han.
300 ## - PHYSICAL DESCRIPTION
Extent XXV, 253 p.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Advances in Pattern Recognition,
International Standard Serial Number 2191-6586
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note to Gait-Based Individual Recognition at a Distance -- Gait-Based Individual Recognition at a Distance -- Gait Representations in Video -- Model-Free Gait-Based Human Recognition in Video -- Discrimination Analysis for Model-Based Gait Recognition -- Model-Based Human Recognition—2D and 3D Gait -- Fusion of Color/Infrared Video for Human Detection -- Face Recognition at a Distance in Video -- Super-Resolution of Facial Images in Video at a Distance -- Evaluating Quality of Super-Resolved Face Images -- Integrated Face and Gait for Human Recognition at a Distance in Video -- Integrating Face Profile and Gait at a Distance -- Match Score Level Fusion of Face and Gait at a Distance -- Feature Level Fusion of Face and Gait at a Distance -- Conclusions for Integrated Gait and Face for Human Recognition at a Distance in Video -- Conclusions and Future Work.
520 ## - SUMMARY, ETC.
Summary, etc Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject. Far more challenging is the ability to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait and face data are the two biometrics that can be most easily captured from a distance using a video camera. This comprehensive and logically organized text/reference addresses the fundamental problems associated with gait and face-based human recognition, from color and infrared video data that are acquired from a distance. It examines both model-free and model-based approaches to gait-based human recognition, including newly developed techniques where both the model and the data (obtained from multiple cameras) are in 3D. In addition, the work considers new video-based techniques for face profile recognition, and for the super-resolution of facial imagery obtained at different angles. Finally, the book investigates integrated systems that detect and fuse both gait and face biometrics from video data. Topics and features: Discusses a framework for human gait analysis based on Gait Energy Image, a spatio-temporal gait representation Evaluates the discriminating power of model-based gait features using Bayesian statistical analysis Examines methods for human recognition using 3D gait biometrics, and for moving-human detection using both color and thermal image sequences Describes approaches for the integration of face profile and gait biometrics, and for super-resolution of frontal and side-view face images Introduces an objective non-reference quality evaluation algorithm for super-resolved images Presents performance comparisons between different biometrics and different fusion methods for integrating gait and super-resolved face from video This unique and authoritative text is an invaluable resource for researchers and graduate students of computer vision, pattern recognition and biometrics. The book will also be of great interest to professional engineers of biometric systems. 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, USA. Dr. Ju Han is a Specialist at the Energy Biosciences Institute, a joint appointment with the Lawrence Berkeley National Laboratory and the University of California, Berkeley, USA.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Computer vision.
Topical term or geographic name as entry element Optical pattern recognition.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Image Processing and Computer Vision.
Topical term or geographic name as entry element Pattern Recognition.
Topical term or geographic name as entry element Computers and Society.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Han, Ju.
Relator term author.
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 9780857291233
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-0-85729-124-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-08AUM Main Library2014-04-08 2014-04-08 E-Book   AUM Main Library006.6