DocumentCode
1125415
Title
Dynamic Imagery Modeling and Motion Estimation Using Weak Formulations
Author
Schalkoff, R.J.
Author_Institution
Department of Electrical and Computer Engineering, Clemson University, Clemson, SC 29631.
Issue
4
fYear
1987
fDate
7/1/1987 12:00:00 AM
Firstpage
578
Lastpage
584
Abstract
Basic research into the modeling and analysis of image sequence dynamics is presented. A distributed parameter system (DPS) framework and the concept of weak solutions are used to develop image motion estimation algorithms. These algorithms represent a region-oriented (as opposed to point-by-point) approach to image motion analysis which is theoretically justifiable, computationally advantageous, and leads to interesting extensions. Particularly noteworthy is the use of weak solution-based motion features to obtain static image structural information and multiple object motion estimates. Experimental results confirm the validity and accuracy of the approach. Future research topics are described.
Keywords
Distributed parameter systems; Humans; Image analysis; Image motion analysis; Image sequence analysis; Layout; Motion analysis; Motion estimation; Radar tracking; Time varying systems; Dynamic imagery; image motion; image sequence analysis; optical flow; visual tracking;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.1987.4767945
Filename
4767945
Link To Document