Region-Based Shape Incorporation for Probabilistic Spatio-Temporal Video Object Segmentation

Ahmed, R.; Karmakar, G. C. and Dooley, L. S. (2006). Region-Based Shape Incorporation for Probabilistic Spatio-Temporal Video Object Segmentation. In: IEEE International Conference on Image Processing (ICIP’06), 8-11 Oct 2006, Atlanta.

DOI: https://doi.org/10.1109/ICIP.2006.312771

URL: http://ieeexplore.ieee.org/search/wrapper.jsp?arnu...

Abstract

Embedding generic shape information into probabilistic spatio-temporal video object segmentation is of pivotal importance to achieving better segmentation, since it provides valuable perceptual clues for humans in both distinguishing and recognising objects. Recently a probabilistic spatio-temporal video object segmentation algorithm incorporating shape information has been proposed, though since it is restricted to only pixel features, the probability of a pixel belonging to a certain cluster is directly correlated with its spatial location, which theoretically limits the segmentation performance of the technique. To address this problem, this paper proposes a new probabilistic spatio-temporal video object segmentation algorithm that incorporates generic shape information based on its region. Experimental results reveal a significant performance improvement in arbitrary-shaped video object segmentation compared with other contemporary methods for a variety of standard video test sequences

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