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- W2163124804 abstract "The purpose of this study is to investigate tracking of moving objects in a sequence of images by detecting the surface generated by motion boundaries in the space-time domain. Estimation of this spatio-temporal surface is formulated as a Bayesian image partitioning problem. Minimization of the resulting energy functional seeks a solution biased toward smooth closed surfaces which coincide with motion boundaries, have small area, and partition the image into regions of contrasting motion activity. The Euler-Lagrange partial differential equations of minimization are expressed as level set evolution equations. The formulation does not require estimation of the image motion field and does not assume a known background. It allows multiple non-simultaneous independent motions to occur and, under some assumptions, can account for camera motion without prior estimation of this motion." @default.
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- W2163124804 date "2003-06-25" @default.
- W2163124804 modified "2023-10-02" @default.
- W2163124804 title "Tracking moving objects as spatio-temporal boundary detection" @default.
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- W2163124804 doi "https://doi.org/10.1109/iai.2002.999899" @default.
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