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The Springer International Series in Engineering and Computer Science

Qualitative Motion Understanding

Authors: Burger, Wilhelm, Bhanu, Bir

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About this book

Mobile robots operating in real-world, outdoor scenarios depend on dynamic scene understanding for detecting and avoiding obstacles, recognizing landmarks, acquiring models, and for detecting and tracking moving objects. Motion understanding has been an active research effort for more than a decade, searching for solutions to some of these problems; however, it still remains one of the more difficult and challenging areas of computer vision research.
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.

Table of contents (9 chapters)

Buy this book

eBook $179.00
price for USA (gross)
  • ISBN 978-1-4615-3566-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $235.00
price for USA
  • ISBN 978-0-7923-9251-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $235.00
price for USA
  • ISBN 978-1-4613-6584-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Qualitative Motion Understanding
Authors
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
184
Copyright
1992
Publisher
Springer US
Copyright Holder
The Editor(s) (if applicable) and The Author(s) 2018
eBook ISBN
978-1-4615-3566-9
DOI
10.1007/978-1-4615-3566-9
Hardcover ISBN
978-0-7923-9251-4
Softcover ISBN
978-1-4613-6584-6
Series ISSN
0893-3405
Edition Number
1
Number of Pages
XIII, 210
Topics