Application of Gibbs–Markov random field and Hopfield-type neural networks for detecting moving objects from video sequences captured by static camera

Author:

Subudhi Badri Narayan,Ghosh Susmita,Ghosh Ashish

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference34 articles.

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4. Brutzer S, Hoferlin B, Heidemann G (2011) Evaluation of background subtraction techniques for video surveillance. In: Proceedings of IEEE conference on computer vision and pattern recognition (CVPR), pp 1937–1944

5. Durucan E, Ebrahimi T (2001) Change detection and background extraction by linear algebra. Proc IEEE (Spec Issue Adv Video Surveill) 89(10):1368–1381

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