By Topic

Dynamic-scene and motion analysis using passive sensors I. A qualitative approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Bhanu, B. ; Coll. of Eng., California Univ., Riverside, CA, USA ; Nevatia, R. ; Riseman, E.M.

Some dynamic-scene and motion analysis techniques developed to support the DARPA Strategic Computing program's autonomous land vehicle effort are described. The approach, called dynamic reasoning from integrated visual evidence (DRIVE), addresses the key problems of estimating robot motion from visual cues, detecting and tracking moving objects, and constructing and maintaining a global dynamic reference model. With reliable computation of displacement fields, this qualitative technique for understanding dynamic scenes reasons accurately on hundreds of image frames. The technique can also be extended to cases where the features are lines, regions, or contours.<>

Published in:

IEEE Expert  (Volume:7 ,  Issue: 1 )