Motion estimation and segmentation method based on integration of spatial and temporal probability models

Authors:
Yong-Fang LingHu
Affiliations:
Guizhou University of Finance and Economics, GuiYang, China
Venue:
ASID'09 Proceedings of the 3rd international conference on Anti-Counterfeiting, security, and identification in communication
Year:
2009

Citing 7
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Abstract

A novel video motion object automatic segmentation algorithm based on a Bayesian framework is studied in this paper. A fast estimation procedure for the posterior marginals is added to the MAP algorithm. The field is initialized as the temporal segmentation result and the spatial segmentation is provided as an observed field of the image. Firstly, initial segmentation is applied to obtain number of the initial motions and the corresponding initial parameters of the motion model. Then the parameters are updated by using the given parameter estimation method. The experiment results show that the algorithm proposed is effective.