Abstract
In this paper we briefly describe some of our work on the rise of stochastic models to describe the displacement vector field (DVF) in an image sequence. Specifically, autoregresive 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 briefly reviewed.
| Original language | English (US) |
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| Title of host publication | IEEE International Conference on Image Processing |
| Editors | Anon |
| Publisher | IEEE |
| Pages | 917-920 |
| Number of pages | 4 |
| Volume | 1 |
| State | Published - Dec 1 1996 |
| Event | Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz Duration: Sep 16 1996 → Sep 19 1996 |
Other
| Other | Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) |
|---|---|
| City | Lausanne, Switz |
| Period | 9/16/96 → 9/19/96 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Electrical and Electronic Engineering