Modelling the Flow of Character Recognition Results in Video Stream
Vladimir V. Arlazarov, Informatics and Management", of RAS, JSC ", Smart Engines Service", Oleg Slavin, A.V. Uskov, I.M. Janiszewski · Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software · 2018
The paper considers problems of developing stochastic models consistent with results of character image recognition in video stream.A set of assumptions that dene the models structure and properties is stated.A class of distributions, namely the Dirichlet distribution and its generalizations, that set a description of the model components is pointed out; and methods for statistical estimation of the distribution parameters are given.To rank the models, the Akaike information criterion is used.The proposed theoretical distributions are veried vs sample data.