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Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 184)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Qualitative Motion Understanding describes a qualitative approach to dynamic scene and motion analysis, called DRIVE (Dynamic Reasoning from Integrated Visual Evidence). The DRIVE system addresses the problems of (a) estimating the robot's egomotion, (b) reconstructing the observed 3-D scene structure; and (c) evaluating the motion of individual objects from a sequence of monocular images. The approach is based on the FOE (focus of expansion) concept, but it takes a somewhat unconventional route. The DRIVE system uses a qualitative scene model and a fuzzy focus of expansion to estimate robot motion from visual cues, to detect and track moving objects, and to construct and maintain a global dynamic reference model.
Authors and Affiliations
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Johannes Kepler University, Linz, Austria
Wilhelm Burger
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University of California, Riverside, USA
Bir Bhanu
Bibliographic Information
Book Title: Qualitative Motion Understanding
Authors: Wilhelm Burger, Bir Bhanu
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-3566-9
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1992
Hardcover ISBN: 978-0-7923-9251-4Published: 30 June 1992
Softcover ISBN: 978-1-4613-6584-6Published: 08 October 2012
eBook ISBN: 978-1-4615-3566-9Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XIII, 210
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Artificial Intelligence, Control, Robotics, Mechatronics, Image Processing and Computer Vision