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• W2139804939 abstract "The authors develop a recursive model-based maximum a posteriori (MAP) estimator that estimates the displacement vector field (DVF) from a noisy image sequence. To model the DVF, they develop a nonstationary vector field model called the vector coupled Gauss-Markov (VCGM) model. The VCGM model consists of two levels, an upper level, which is made up of several submodels with various characteristics, and a lower level or line process which governs the transitions between the submodels. By estimating the line process the authors segment the DVF along its motion boundaries, which is a critical step in the tracking of objects through a video sequence. >" @default.
• W2139804939 created "2016-06-24" @default.
• W2139804939 creator A5074534608 @default.
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• W2139804939 date "2002-12-30" @default.
• W2139804939 modified "2023-09-23" @default.
• W2139804939 title "Recursive displacement estimation for use in multiple object tracking" @default.
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• W2139804939 doi "https://doi.org/10.1109/milcom.1993.408620" @default.
• W2139804939 hasPublicationYear "2002" @default.
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