Recursive displacement estimation for use in multiple object tracking
- 30 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 485-489
- https://doi.org/10.1109/milcom.1993.408620
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.Keywords
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