Simultaneous estimation of optical flow and object state: A modified approach to optical flow calculation

Pathirana, Pubudu, Lim, Allan, Carminati, John and Premaratne, Malin 2007, Simultaneous estimation of optical flow and object state: A modified approach to optical flow calculation, in 2007 IEEE International Conference on Networking, Sensing, and Control, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, N.J., pp. 634-638.

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Title Simultaneous estimation of optical flow and object state: A modified approach to optical flow calculation
Author(s) Pathirana, Pubudu
Lim, Allan
Carminati, John
Premaratne, Malin
Conference name IEEE International Conference on Networking, Sensing, and Control (4th : 2007 : London)
Conference location London, United Kingdom
Conference dates April 15-17 2007
Title of proceedings 2007 IEEE International Conference on Networking, Sensing, and Control
Editor(s) [Unknown]
Publication date 2007
Conference series International Conference on Networking, Sensing and Control
Start page 634
End page 638
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Place of publication Piscataway, N.J.
Keyword(s) optical flow,
state estimation
Summary Differential optical flow methods are widely used within the computer vision community. They are classified as being either local, as in the Lucas-Kanade method, or global, as in the Horn-Schunck technique. As the physical dynamics of an object is inherently coupled into the behavior of its image in the video stream, in this paper, we use such dynamic parameter information in calculating optical flow when tracking a moving object using a video stream. Indeed, we use a modified error function in the minimization that contains physical parameter information. Further, the refined estimates of optical flow is used for better estimation of the physical parameters of the object in the simultaneous estimation of optical flow and object state(SEOS).
ISBN 1424410762
9781424410767
Language eng
Field of Research 080104 Computer Vision
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2007, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30007957

Document type: Conference Paper
Collection: School of Engineering and Information Technology
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