Active Vision

Overview

Active Vision explores important themes emerging from the active vision paradigm, which has only recently become an established area of machine vision. In four parts the contributions look in turn at tracking, control of vision heads,geometric and task planning, and architectures and applications, presenting research that marks a turning point for both the tasks and the processes of computer vision.The eighteen chapters in Active Vision draw on traditional work in computer vision over the last two decades, ...

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Overview

Active Vision explores important themes emerging from the active vision paradigm, which has only recently become an established area of machine vision. In four parts the contributions look in turn at tracking, control of vision heads,geometric and task planning, and architectures and applications, presenting research that marks a turning point for both the tasks and the processes of computer vision.The eighteen chapters in Active Vision draw on traditional work in computer vision over the last two decades, particularly in the use of concepts of geometrical modeling and optical flow; however, they also concentrate on relatively new areas such as control theory, recursive statistical filtering, and dynamical modeling.Active Vision documents a change in emphasis, one that is based on the premise that an observer (human or computer) may be able to understand a visual environment more effectively and efficiently if the sensor interacts with that environment, moving through and around it, culling information selectively, and analyzing visual sensory data purposefully in order to answer specific queries posed by the observer. This method is in marked contrast to the more conventional, passive approach to computer vision where the camera is supposed to take in the whole scene,attempting to make sense of all that it sees.Andrew Blake is Lecturer in Engineering Science at the University of Oxford Alan Yuille is Associate Professor in the Division of Applied Sciences at Harvard University.

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Editorial Reviews

Booknews
Explores important themes emerging from the active vision paradigm, which has only recently become an established area of machine vision. The contributions look in turn at tracking, control of vision heads, geometric and task planning, and architectures and applications, presenting research that marks a turning point for both the tasks and the processes of computer vision. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780262518901
  • Publisher: MIT Press
  • Publication date: 11/28/1992
  • Series: Artificial Intelligence Series
  • Pages: 389
  • Product dimensions: 6.00 (w) x 9.00 (h) x 0.50 (d)

Meet the Author

Andrew Blake is Managing Director of Microsoft Research Cambridge (UK), where he has led the Computer Vision Research Group since 1999.

Alan Yuille is Professor in the Department of Statistics, University of California, Los Angeles.

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Table of Contents

Series Foreword
Foreword
Preface
Introduction
I Tracking
1 Tracking with Kalman Snakes 3
2 Deformable Templates 21
3 Dynamic Contours: Real-time Active Splines 39
4 Tracking with Rigid Models 59
5 Tracking Nonrigid 3D Objects 75
6 Data Association Methods for Tracking Systems 91
7 Color Region Tracking for Vehicle Guidance 107
II Control of Vision Heads
8 Real-time Smooth Pursuit Tracking 123
9 Attentive Visual Servoing 137
10 Design of Stereo Heads 155
III Geometric and Task Planning
11 Visual Exploration of Free-space 175
12 Motion Planning Using Image Divergence and Deformation 189
13 Adaptive Local Navigation 203
14 Task-oriented Vision with Multiple Bayes Nets 217
IV Architectures and Applications
15 A Parallel 3D Vision System 239
16 Geometry from Visual Motion 263
17 Medical Image Tracking 285
18 Expectation-based Dynamic Scene Understanding 303
Acknowledgements 337
References 341
Contributors 357
Index 360
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