Real-Time Computer Vision

Front Cover
Christopher M. Brown, Demetri Terzopoulos
Cambridge University Press, Mar 30, 1995 - Computers - 232 pages
Computer vision is a rapidly developing and highly interdisciplinary field of computer science and engineering in which researchers are attempting to create vision algorithms that can analyze dynamic images at real-time rates. Real-time vision is needed for automated systems to keep pace with real-world activities and thus control or respond appropriately to them. This is the first book devoted to the subject of real-time computer vision, and it includes articles by some of the leading researchers in the world. The focus is on algorithms for interpreting visual input at video rates and on using the gathered information for decision-making and control. Topics covered include: shape recovery; model-based vehicle tracking; active exploration; tracking heads and eyes; controlling robot behavior; visual monitoring; controlling distributed robots. The book will be of interest to students, researchers and engineers involved in the design and programming of visually guided systems.
 

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Contents

Tracking Moving Heads
35
Tracking and Measuring Drivers Eyes
71
ModelBased Vision for Traffic Scenes Using the
93
Active Exploration of Dynamic and Static
117
Robust Shape Recovery from Occluding
141
Visual Robot Guidance from Uncalibrated
169
Control of Visually Guided Behaviors
189
Hybrid Problems Need Hybrid Solutions?
209
Contributors
231
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