AHA-BUCH

Understanding Images and Videos of People

A Structured Model Approach
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ISBN-13:
9783639243659
Einband:
Paperback
Seiten:
120
Autor:
Yang Wang
Gewicht:
195 g
Format:
220x150x7 mm
Sprache:
Englisch
Beschreibung:

A grand challenge of computer vision is to enable machines to "see people". A solution to this challenge will enable numerous applications in various fields, e.g., security, surveillance, entertainment, human computer interaction, bio-mechanics, etc. This book focuses on two problems in the general area of "looking at people": human pose estimation and human action recognition. The goal of human pose estimation is to identify the body parts of a person from a still image. Human action recognition aims to recognize the actions of a person from a video sequence. We formulate the solutions to these problems as learning structured models. This book is primarily intended for graduate students and researchers in the areas of computer vision, machine learning, probabilistic models, image and video understanding.

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