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Application of Gibbs-Markov random field and Hopfield-type neural networks for detecting moving objects from video sequences captured by static camera.
Badri Narayan Subudhi
Susmita Ghosh
Ashish Ghosh
Published in:
Soft Comput. (2015)
Keyphrases
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markov random field
graph cuts
maximum a posteriori
pairwise
higher order
image segmentation
energy function
background subtraction
field of view
motion detection
machine learning
high quality
active contours
bayesian framework