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Splitting Gaussians in Mixture Models
2012
2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance
Gaussian mixture models have been extensively used and enhanced in the surveillance domain because of their ability to adaptively describe multimodal distributions in real-time with low memory requirements. Nevertheless, they still often suffer from the problem of converging to poor solutions if the main mode stretches and thus over-dominates weaker distributions. Based on the results of the Split and Merge EM algorithm, in this paper we propose a solution to this problem. Therefore, we define
doi:10.1109/avss.2012.69
dblp:conf/avss/EvangelioPS12
fatcat:3dsqcp2l7jfkrkcp6unzacdioi