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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Konrad, J. Ristivojevic, M. |
| Copyright Year | 2002 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Boston Univ., MA, USA (Konrad, J.; Ristivojevic, M.) |
| Abstract | We address the issue of joint space-time segmentation of image sequences. Typical approaches to such segmentation consider two image frames at a time, and perform tracking of individual segments across time. We propose to perform this segmentation jointly over multiple frames. This leads to a 3D segmentation, i.e., a search for a volume "carved out" by a moving object in the (3D) image sequence domain. We pose the problem in a Bayesian framework and use the MAP criterion. Under suitable structural and segmentation/motion models we convert MAP estimation to a functional minimization. The resulting problem can be viewed as volume competition, a 3D generalization of region competition. We parameterize the unknown surface to be estimated, but rather than solving for it using an active-surface approach, we embed it into a higher-dimensional function and use the level-set methodology. We show experimental results for the simpler case of object motion against a still background although, given suitable models, the general formulation can handle complex motion too. |
| Sponsorship | IEEE Signal Process. Soc |
| File Size | 327475 |
| File Format | |
| ISBN | 0780376226 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2002.1038088 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-09-22 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image sequences Image segmentation Motion estimation Computer vision Motion detection Motion segmentation Active contours Bayesian methods Image converters Image analysis |
| Content Type | Text |
| Resource Type | Article |
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