BAYESIAN VIDEO MOSAICING WITH MOVING OBJECTS
2002 ◽
Vol 16
(03)
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pp. 341-348
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This paper presents a framework that creates background, foreground and a temporal summarization of the motions in a scene. The method is based on the Dominant Motion Assumption (DMA), where the background has a parametric motion and occupies the main part of the scene. Under this assumption, we present a robust optical flow based method to extract the moving parts of the scene using the clustering capabilities of mixtures of Gaussians. A general mosaicing method to summarize the background, the foreground and the trajectories of objects in the scene is also presented.
2014 ◽
Vol 687-691
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pp. 564-571
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2005 ◽
pp. 789-795
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2020 ◽
Vol 17
(4)
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pp. 172988142094727
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2013 ◽
Vol 27
(02)
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pp. 1354003
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Keyword(s):
2021 ◽
Vol 12
(11)
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pp. 697-703
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