شابک
شابک
1598290061 (electronic bk.)
شماره کتابشناسی ملی
کد کشور
IR
شماره
EN-57095
زبان اثر
زبان متن نوشتاري يا گفتاري و مانند آن
انگلیسی
کشور محل نشر یا تولید
کشور محل نشر
IR
عنوان و نام پديدآور
عنوان اصلي
Recognition of humans and their activities using video
نام عام مواد
[Book]
نام نخستين پديدآور
/ Rama Chellappa, Amit K. Roy-Chowdhury, S. Kevin Zhou
وضعیت ویراست
وضعيت ويراست
1st ed.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA)
نام ناشر، پخش کننده و غيره
: Morgan & Claypool Publishers,
تاریخ نشرو بخش و غیره
, c2005.
مشخصات ظاهری
نام خاص و کميت اثر
1 electronic document (ix, 173 p.)
ساير جزييات
: , digital file.
فروست
عنوان فروست
(Synthesis lectures on image, video, and multimedia processing
مشخصه جلد
; 1)
يادداشت کلی
متن يادداشت
Part of: Synthesis digital library of engineering and computer science.
متن يادداشت
Series from website.
متن يادداشت
Series statement from caption on home page.
متن يادداشت
Title from PDF t.p. (viewed on Oct. 10, 2008).
یادداشتهای مربوط به نشر، بخش و غیره
متن يادداشت
Electronic
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references (p. 153-170).
یادداشتهای مربوط به مندرجات
متن يادداشت
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.
متن يادداشت
Introduction -- Human recognition using face -- Human recognition using gait -- Human activity recognition -- Future research directions -- Conclusions -- References.
فروست (داده ارتباطی)
عنوان
Synthesis lectures on image, video, and multimedia processing
شماره جلد
1
عنوانهای گونه گون دیگر
عنوان گونه گون
Synthesis digital library of engineering and computer science
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Biometric identification
موضوع مستند نشده
Gait in humans
موضوع مستند نشده
Human face recognition (Computer science)
موضوع مستند نشده
Image analysis
موضوع مستند نشده
Image processing , Digital techniques
رده بندی کنگره
شماره رده
E-BOOK
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Chellappa, Rama.
نام شخص - ( مسئولیت معنوی درجه دوم )
مستند نام اشخاص تاييد نشده
Roy-Chowdhury, Amit K
مستند نام اشخاص تاييد نشده
Zhou, S. Kevin
مبدا اصلی
کشور
ایران
دسترسی و محل الکترونیکی
نام ميزبان
1598290061.pdf
شماره دسترسي
عادی
اطلاعات مختصر
عادی
تاريخ و ساعت مذاکره و دسترسي
1598290061.pdf
نوع فرمت الکترونيکي
متن
وضعیت فهرست نویسی
وضعیت فهرست نویسی
old catalog
وضعیت انتشار
فرمت انتشار
e
اطلاعات رکورد کتابشناسی
نوع ماده
BL
پیشوند ISBD اعمال شده است
1
اطلاعات دسترسی رکورد
سطح دسترسي
a
تكميل شده
Y
