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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yejue Huang |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Comput. Sci., Zhejiang Ind. Polytech. Coll., Shaoxing, China (Yejue Huang) |
| Abstract | In this paper we address the problem of segmenting foreground regions corresponding to a group of objects given their fragment features that were initialized before occlusion. The proposed approach includes foreground/ shadow segmentation and objects segmentation under occlusion. We present a weighted method to estimate shadows and foreground, by which we compute each pixel¿s features. Fragment features of objects in foreground were initialized before occlusion and updated by previous segmentation results. The problem is formulated in the framework of conditional random fields (CRF), which is solved by using Gibbs sampling algorithm. To reduce iteration number, the Gibbs sampling algorithm was initialized by the mask that makes the normalized correlation of each object fragment between previous frame and current frame maximal. |
| Starting Page | 442 |
| Ending Page | 446 |
| File Size | 534283 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769534978 |
| DOI | 10.1109/IITA.2008.221 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Image segmentation Target tracking Surveillance Object segmentation Sampling methods Computer industry Iterative methods Application software Information technology |
| Content Type | Text |
| Resource Type | Article |
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