Book contents
- Frontmatter
- Contents
- Foreword: Out of Sight, Out of Mind
- Preface
- Part one New Interfaces and Novel Applications
- Part two Tracking Human Action
- 6 Tracking Faces
- 7 Towards Automated, Real-time, Facial Animation
- 8 Interfacing through Visual Pointers
- 9 Monocular Tracking of the Human Arm in 3D
- 10 Looking at People in Action – An Overview
- Part three Gesture Recognition and Interpretation
- Acknowledgements
- Bibliography
- List of contributors
10 - Looking at People in Action – An Overview
from Part two - Tracking Human Action
Published online by Cambridge University Press: 06 July 2010
- Frontmatter
- Contents
- Foreword: Out of Sight, Out of Mind
- Preface
- Part one New Interfaces and Novel Applications
- Part two Tracking Human Action
- 6 Tracking Faces
- 7 Towards Automated, Real-time, Facial Animation
- 8 Interfacing through Visual Pointers
- 9 Monocular Tracking of the Human Arm in 3D
- 10 Looking at People in Action – An Overview
- Part three Gesture Recognition and Interpretation
- Acknowledgements
- Bibliography
- List of contributors
Summary
Abstract
Using computers to watch human activity has proven to be a research area having not only a large number of potentially important applications (in surveillance, communications, health, etc.) but also one the had led to a variety of new, fundamental problems in image processing and computer vision. In this chapter we review research that has been conducted at the University of Maryland during the past five years on various topics involving analysis of human activity.
Introduction
Our interest in this general area started with consideration of the problem of how a computer might recognize a facial expression from the changing appearance of the face displaying the expression. Technically, this led us to address the problem of how the non-rigid deformations of facial features (eyes, mouth) could be accurately measured even while the face was moving rigidly.
In section 10.2 we discuss our solution to this problem. Our approach to this problem, in which the rigid head motion is estimated and used to stabilize the face so that the non-rigid feature motions could be recovered, naturally led us to consider the problem of head gesture recognition. Section 10.3 discusses two approaches to recognition of head gestures, both of which employ the rigid head motion descriptions estimated in the course of recognizing expressions.
- Type
- Chapter
- Information
- Computer Vision for Human-Machine Interaction , pp. 171 - 188Publisher: Cambridge University PressPrint publication year: 1998
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