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Probabilistic Spatio-Temporal Video Object Segmentation Incorporating Shape Information

Ahmed, R.; Karmakar, G. C. and Dooley, L. S. (2006). Probabilistic Spatio-Temporal Video Object Segmentation Incorporating Shape Information. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’06), 14-19 May 2006, Toulouse.

URL: http://ieeexplore.ieee.org/search/wrapper.jsp?arnu...
DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1109/ICASSP.2006.1660425
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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

Item Type: Conference Item
ISSN: 1520-6149
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 10564
Depositing User: Laurence Dooley
Date Deposited: 10 Apr 2008
Last Modified: 02 Dec 2010 20:07
URI: http://oro.open.ac.uk/id/eprint/10564
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