1598290061 (electronic bk.)
IR
EN-57095
انگلیسی
IR
Recognition of humans and their activities using video
[Book]
/ Rama Chellappa, Amit K. Roy-Chowdhury, S. Kevin Zhou
1st ed.
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA)
: Morgan & Claypool Publishers,
, c2005.
1 electronic document (ix, 173 p.)
: , digital file.
(Synthesis lectures on image, video, and multimedia processing
; 1)
Part of: Synthesis digital library of engineering and computer science.
Series from website.
Series statement from caption on home page.
Title from PDF t.p. (viewed on Oct. 10, 2008).
Electronic
Includes bibliographical references (p. 153-170).
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.
Introduction -- Human recognition using face -- Human recognition using gait -- Human activity recognition -- Future research directions -- Conclusions -- References.
Synthesis lectures on image, video, and multimedia processing
1
Synthesis digital library of engineering and computer science
Biometric identification
Gait in humans
Human face recognition (Computer science)
Image analysis
Image processing , Digital techniques
E-BOOK
Chellappa, Rama.
Roy-Chowdhury, Amit K
Zhou, S. Kevin
ایران
1598290061.pdf
عادی
عادی
1598290061.pdf
متن
old catalog
e
BL
1
a
Y
