Computer vision is a rapidly developing and highly
interdisciplinary field of computer science and engineering. An
increasing number of researchers are turning their attention to the
development of vision algorithms that can analyse 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 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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