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Adaptive Combination of Local Motion, Appearance, and Shape for Video Segmentation
- Authors
- Shim, Woo-sung; Kim, Se-hoon; Lee, Soochahn
- Issue Date
- Nov-2016
- Publisher
- Society for Imaging Science and Technology
- Keywords
- Video Segmentation; Adaptive Combination; Local Motion; Local Shape; Local Appearance
- Citation
- Journal of Imaging Science and Technology, v.60, no.6
- Journal Title
- Journal of Imaging Science and Technology
- Volume
- 60
- Number
- 6
- ISSN
- 1062-3701
1943-3522
- Abstract
- In this paper, we propose an accurate and robust video segmentation method. The main contributions are threefold: (1) multiple cues (appearance and shape) are explicitly used and adaptively combined to determine segment probability; (2) motion is implicitly used to compute the shape cue; and (3) the segment labeling is improved by utilizing geodesic graph cuts. Experimental results show the effectiveness of the proposed method. (C) 2016 Society for Imaging Science and Technology.
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