INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
1598290061 (electronic bk.)
NATIONAL BIBLIOGRAPHY NUMBER
Country Code
IR
Number
EN-57095
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
COUNTRY OF PUBLICATION OR PRODUCTlON
Country of publication
IR
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Recognition of humans and their activities using video
General Material Designation
[Book]
First Statement of Responsibility
/ Rama Chellappa, Amit K. Roy-Chowdhury, S. Kevin Zhou
EDITION STATEMENT
Edition Statement
1st ed.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA)
Name of Publisher, Distributor, etc.
: Morgan & Claypool Publishers,
Date of Publication, Distribution, etc.
, c2005.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 electronic document (ix, 173 p.)
Other Physical Details
: , digital file.
SERIES
Series Title
(Synthesis lectures on image, video, and multimedia processing
Volume Designation
; 1)
GENERAL NOTES
Text of Note
Part of: Synthesis digital library of engineering and computer science.
Text of Note
Series from website.
Text of Note
Series statement from caption on home page.
Text of Note
Title from PDF t.p. (viewed on Oct. 10, 2008).
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Electronic
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (p. 153-170).
CONTENTS NOTE
Text of Note
The recognition of humans and their activities from video sequences is currently a very active area of research because of its applications in video surveillance, design of realistic entertainment systems, multimedia communications, and medical diagnosis. In this lecture, we discuss the use of face and gait signatures for human identification and recognition of human activities from video sequences. We survey existing work and describe some of the more well-known methods in these areas. We also describe our own research and outline future possibilities. In the area of face recognition, we start with the traditional methods for image-based analysis and then describe some of the more recent developments related to the use of video sequences, 3D models, and techniques for representing variations of illumination. We note that the main challenge facing researchers in this area is the development of recognition strategies that are robust to changes due to pose, illumination, disguise, and aging. Gait recognition is a more recent area of research in video understanding, although it has been studied for a long time in psychophysics and kinesiology. The goal for video scientists working in this area is to automatically extract the parameters for representation of human gait. We describe some of the techniques that have been developed for this purpose, most of which are appearance based. We also highlight the challenges involved in dealing with changes in viewpoint and propose methods based on image synthesis, visual hull, and 3D models. In the domain of human activity recognition, we present an extensive survey of various methods that have been developed in different disciplines like artificial intelligence, image processing, pattern recognition, and computer vision. We then outline our method for modeling complex activities using 2D and 3D deformable shape theory. The wide application of automatic human identification and activity recognition methods will require the fusion of different modalities like face and gait, dealing with the problems of pose and illumination variations, and accurate computation of 3D models. The last chapter of this lecture deals with these areas of future research.
Text of Note
Introduction -- Human recognition using face -- Human recognition using gait -- Human activity recognition -- Future research directions -- Conclusions -- References.
SERIES
Title
Synthesis lectures on image, video, and multimedia processing
Volume Number
1
OTHER VARIANT TITLES
Variant Title
Synthesis digital library of engineering and computer science
TOPICAL NAME USED AS SUBJECT
Biometric identification
Gait in humans
Human face recognition (Computer science)
Image analysis
Image processing , Digital techniques
LIBRARY OF CONGRESS CLASSIFICATION
Class number
E-BOOK
PERSONAL NAME - PRIMARY RESPONSIBILITY
Chellappa, Rama.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Roy-Chowdhury, Amit K
Zhou, S. Kevin
ORIGINATING SOURCE
Country
ایران
ELECTRONIC LOCATION AND ACCESS
Host name
1598290061.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
1598290061.pdf
Electronic Format Type
متن
old catalog
e
BL
1
a
Y
