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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Brailean, J.C. Katsaggelos, A.K. |
| Copyright Year | 1996 |
| Description | Author affiliation: Chicago Corp. Res. Labs., Motorola, Schaumburg, IL, USA (Brailean, J.C.) |
| Abstract | We briefly describe some of our work on the use of stochastic models to describe the displacement vector field (DVF) in an image sequence. Specifically, autoregressive models are used which describe the abrupt transitions in the DVF with the use of a line process, but also result in spatio-temporally recursive structures. The use of such models in developing maximum a posteriori estimators for the DVF and the line process is subsequently described. Finally, the extension and application of the resulting estimator to the problems of object tracking, video compression and restoration of video sequences is reviewed. |
| Starting Page | 917 |
| Ending Page | 920 |
| File Size | 630614 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780332598 |
| DOI | 10.1109/ICIP.1996.559649 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-09-19 |
| Publisher Place | Switzerland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Recursive estimation Video compression Motion estimation Videoconference Tracking Image sequences Image restoration Video sequences Optical noise Biomedical optical imaging |
| Content Type | Text |
| Resource Type | Article |
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