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ACCV
2006
Springer

A Multi-Layer MRF Model for Video Object Segmentation

13 years 9 months ago
A Multi-Layer MRF Model for Video Object Segmentation
A novel video object segmentation method is proposed which aims at combining color and motion information. The model has a multilayer structure: Each feature has its own layer, called feature layer, where a classical Markov random field (MRF) image segmentation model is defined using only the corresponding feature. A special layer is assigned to the combined MRF model, called combined layer, which interacts with each feature layer and provides the segmentation based on the combination of different features. Unlike previous methods, our approach doesn’t assume motion boundaries being part of spatial ones. Therefore a very important property of the proposed method is the ability to detect boundaries that are visible only in the motion feature as well as those visible only in the color one. The method is validated on synthetic and real video sequences.
Zoltan Kato, Ting-Chuen Pong
Added 13 Jun 2010
Updated 08 Jul 2010
Type Conference
Year 2006
Where ACCV
Authors Zoltan Kato, Ting-Chuen Pong
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