Ahmed, R.; Karmakar, G. C. and Dooley, L. S.
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.
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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