Background Image Estimation with MRF and DBSCAN Algorithms
Pavel Vyacheslavovich Skribtsov, Sergey O. Surikov, Michael A. Yakovlev · Indian Journal of Science and Technology · 2015
New simple and fast method for robust background image estimation from video stream is offered. The method is based on Markov Random Field, Belief Propagation and DBSCAN algorithms. The usage of cyclic graph MRF model of nonoverlapping image patches with narrow set of background hypotheses generated by DBSCAN algorithm provides faster convergence of Belief Propagation with accuracy comparable to the state-of-art methods. Keywords: Background Estimation, Belief Propagation, DBSCAN, Markov Random Field