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Ahmed, R.; Karmakar, G. C. and Dooley, L. S.
(2006).
DOI: https://doi.org/10.1109/ICASSP.2006.1660425
URL: http://ieeexplore.ieee.org/search/wrapper.jsp?arnu...
Abstract
From a video object segmentation perspective, using a joint spatio-temporal strategy is superior to processing with priority in either the spatial or temporal domains, as it considers a video sequence as a spatio-temporal grouping of pixels. However, existing spatio-temporal object segmentation techniques consider only pixel features, which tend to limit their performance in being able to segment arbitrary shaped objects. To address this limitation requires a new strategy for embedding generic shape information seamlessly into the segmentation process and this paper presents a new shape-based probabilistic spatio-temporal algorithm that achieves this objective. Experimental results using a number of standard video test sequences reveal a considerable performance improvement in being able to segment arbitrary shaped video objects in comparison with other contemporary space-time based video segmentation methods
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About
- Item ORO ID
- 10564
- Item Type
- Conference or Workshop Item
- ISSN
- 1520-6149
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Depositing User
- Laurence Dooley