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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weiss, Y. Adelson, E.H. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Brain & Cognitive Sci., MIT, Cambridge, MA, USA (Weiss, Y.; Adelson, E.H.) |
| Abstract | Describing a video sequence in terms of a small number of coherently moving segments is useful for tasks ranging from video compression to event perception. A promising approach is to view the motion segmentation problem in a mixture estimation framework. However, existing formulations generally use only the motion, data and thus fail to make use of static cues when segmenting the sequence. Furthermore, the number of models is either specified in advance or estimated outside the mixture model framework. In this work we address both of these issues. We show how to add spatial constraints to the mixture formulations and present a variant of the EM algorithm that males use of both the form and the motion constraints. Moreover this algorithm estimates the number of segments given knowledge about the level of model failure expected in the sequence. The algorithm's performance is illustrated on synthetic and real image sequences. |
| Starting Page | 321 |
| Ending Page | 326 |
| File Size | 803809 |
| Page Count | 6 |
| File Format | |
| ISBN | 0818672595 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.1996.517092 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-06-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Motion segmentation Computer vision Spatial coherence Motion estimation Optical noise Layout Noise figure Image motion analysis Fluid flow measurement Noise measurement |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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