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    Multi-Target tracking of human spermatozoa in phase-contrast microscopy image sequences using a hybrid dynamic bayesian network

    , Article Scientific Reports ; Volume 8, Issue 1 , 2018 ; 20452322 (ISSN) Arasteh, A ; Vosoughi Vahdat, B ; Salman Yazdi, R ; Sharif University of Technology
    Nature Publishing Group  2018
    Abstract
    Male infertility is mostly related to semen and spermatozoa, and any diagnosis or treatment requires the investigation of the motility patterns of spermatozoa. The movements of spermatozoa are fast and involve collision and occlusion with each other. In order to extract the motility patterns of spermatozoa, multi-target tracking (MTT) of spermatozoa is necessary. One of the most important steps of MTT is data association, in which the newly arrived observations are used to update the previous tracks. Dynamic Bayesian network (DBN) is a powerful tool for modeling and solving various types of problems such as tracking and classification. There can also be a hybrid-DBN (HDBN), in which both...