A Review on use of Markov Random Field in object tracking
نویسندگان
چکیده
In this model we proposed on algorithm for object tracking using ‘graph –cut method’ and for labeling the pixels in graph-cut we use Markov random field (mrf) ,this theorem relies on Bayesian estimation associated with combinational optimization. The segmentation is obtained by classifying the pixels in to different pixel classes. These classes are represented by multivariate Gaussian distributions . We find out nodes energy and energy of it due to neighboring pixels using MRF.
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