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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fan Zhong Xueying Qin Qunsheng Peng |
| Copyright Year | 2010 |
| Description | Author affiliation: State Key Lab. of CAD&CG, Zhejiang University (Fan Zhong; Qunsheng Peng) || Department of Computer Science, Shandong University (Xueying Qin) |
| Abstract | Online foreground extraction is very difficult due to the complexity of real scenes. Almost all the previous methods assume that the background is stationary, which not only incur unreliable result due to background activities like dynamic shadow, moving background objects etc., but also makes them hard to be extended to the case of non-stationary background. In this paper we assume that the background is continuous instead of stationary, and present a transductive video segmentation method that can handle dynamic scenes captured by a hand-held moving camera. The segmentation is propagated based on local color models and temporal prior, as well as a dynamic global color model (DGKDE) in the case of occlusion. A novel local color modeling method, FLKDE, is proposed to model both local color distribution and temporal prior at each pixel. FLKDE can be learned additively to reach real-time speed. Finally, a very fast geodesic-based method is adopted to solve for the segmentation. Experiments show that our method can generate good quality segmentation for wide variety of scenes, and can reach 15∼25 fps for 640×480 size of input image sequences. |
| Starting Page | 2189 |
| Ending Page | 2196 |
| File Size | 1021439 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424469840 |
| ISSN | 10636919 |
| e-ISBN | 9781424469857 |
| DOI | 10.1109/CVPR.2010.5539899 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Layout Image segmentation Cameras Image sequences Computer science Augmented reality Real time systems Network synthesis Differential equations Sun |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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