A heuristic model for determining the sperm motility grade by video

Diego Gárate, Rosario Medina, Filomén Incahuanaco, César Beltrán

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Sperm motility analysis is an important part in the fertility analysis and at the same time is a good example of the tracking multiple objects and video surveillance problem from a computational point of view. Currently the most used method for this analysis is the direct inspection which is inaccurate, subjective, a not repeatable procedure, and difficult to teach. This article attempts to overcome these barriers using computer vision techniques and also proposes a heuristic model based on movement direction and Euclidean distance to track sperm in videos obtained from an artificial sperm cells simulator.

Original languageEnglish
Title of host publicationProceedings - 2015 41st Latin American Computing Conference, CLEI 2015
EditorsAlex Cuadros-Vargas, Hector Cancela, Ernesto Cuadros-Vargas
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467391436
DOIs
StatePublished - 16 Dec 2015
Event41st Latin American Computing Conference, CLEI 2015 - Arequipa, Peru
Duration: 19 Oct 201523 Oct 2015

Publication series

NameProceedings - 2015 41st Latin American Computing Conference, CLEI 2015

Conference

Conference41st Latin American Computing Conference, CLEI 2015
Country/TerritoryPeru
CityArequipa
Period19/10/1523/10/15

Keywords

  • Sperm Motility
  • computer vision
  • image processing
  • tracking

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