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Visual Analysis of Humans

Looking at People

Springer London,
Buch
176,54 € Lieferbar in 5-7 Tagen
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Understanding human activity from video is a key problem in the field of computer vision. With broad coverage and an accessible style, this unique reference is a coherent and comprehensive view of all aspects of the video analysis of humans and their actions.

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Hauptbeschreibung

Titel: Visual Analysis of Humans
Autoren/Herausgeber: Thomas B. Moeslund, Adrian Hilton, Volker Krüger, Leonid Sigal (Hrsg.)
Ausgabe: 2011

ISBN/EAN: 9780857299963

Seitenzahl: 634
Format: 23,5 x 15,5 cm
Produktform: Hardcover/Gebunden
Gewicht: 1,134 g
Sprache: Englisch

Understanding human activity from video is one of the central problems in the field of computer vision, driven by a wide variety of applications in communications, entertainment, security, commerce, and athletics.This unique text/reference provides a coherent and comprehensive overview of all aspects of video analysis of humans. Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world. In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges.Topics and features: with a Foreword by Professor Larry Davis of the University of Maryland Institute for Advanced Computer Studies, USA; contains contributions from an international selection of leading authorities in the field; includes an extensive glossary; discusses the problems associated with detecting and tracking people through camera networks; examines topics related to determining the time-varying 3D pose of a person from video; investigates the representation and recognition of human and vehicular actions; reviews the most important applications of activity recognition, from biometrics and surveillance, to sports and driver assistance.With its all-encompassing scope, this essential reference will be of great value not only to graduate students in computer vision, but also to all researchers and professionals interested in systems for the visual analysis of humans.

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