MARC details
| 000 -LEADER |
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| fixed length control field |
04231cam a22004451a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
100615s2005 cau fsb 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
1598290061 (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781598290066 (electronic bk.) |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(WaSeSS)ssj0000328591 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.4CHE-R |
| Edition number |
22 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Chellappa, Rama. |
| 245 10 - TITLE STATEMENT |
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| Title |
Recognition of humans and their activities using video |
| Statement of responsibility, etc |
Rama Chellappa, Amit K. Roy-Chowdhury, S. Kevin Zhou. |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
1st ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| 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. |
| 490 1# - SERIES STATEMENT |
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| Series statement |
Synthesis lectures on image, video, and multimedia processing ; |
| Volume number/sequential designation |
#1 |
| 500 ## - GENERAL NOTE |
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| General note |
Part of: Synthesis digital library of engineering and computer science. |
| 500 ## - GENERAL NOTE |
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| General note |
Series from website. |
| 500 ## - GENERAL NOTE |
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| General note |
Series statement from caption on home page. |
| 500 ## - GENERAL NOTE |
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| General note |
Title from PDF t.p. (viewed on Oct. 10, 2008). |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references (p. 153-170). |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Introduction -- Human recognition using face -- Human recognition using gait -- Human activity recognition -- Future research directions -- Conclusions -- References. |
| 520 0# - SUMMARY, ETC. |
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| Summary, etc |
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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Biometric identification. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Gait in humans. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Human face recognition (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Image analysis. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Image processing |
| General subdivision |
Digital techniques. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Roy-Chowdhury, Amit K. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Zhou, S. Kevin. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
http://www.columbia.edu/cgi-bin/cul/resolve?clio7818000 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Item type |
Books |
| 210 10 - ABBREVIATED TITLE |
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| Abbreviated title |
Recognition of humans and their activities using video |
| 506 ## - RESTRICTIONS ON ACCESS NOTE |
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| Terms governing access |
License restrictions may limit access. |
| 538 ## - SYSTEM DETAILS NOTE |
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| System details note |
Mode of access: World Wide Web. |
| 538 ## - SYSTEM DETAILS NOTE |
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| System details note |
System requirements: PDF reader. |
| 730 0# - ADDED ENTRY--UNIFORM TITLE |
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| Uniform title |
Synthesis digital library of engineering and computer science. |
| 773 #0 - HOST ITEM ENTRY |
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| Title |
Synthesis Collection One |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
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| Uniform title |
Synthesis lectures on image, video, and multimedia processing ; |
| Volume number/sequential designation |
#1. |