A heuristic model for determining the sperm motility grade by video

Diego Gárate, Rosario Medina, Filomén Incahuanaco, César Beltrán

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2015 41st Latin American Computing Conference, CLEI 2015
EditoresAlex Cuadros-Vargas, Hector Cancela, Ernesto Cuadros-Vargas
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781467391436
DOI
EstadoPublicada - 16 dic. 2015
Evento41st Latin American Computing Conference, CLEI 2015 - Arequipa, Perú
Duración: 19 oct. 201523 oct. 2015

Serie de la publicación

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

Conferencia

Conferencia41st Latin American Computing Conference, CLEI 2015
País/TerritorioPerú
CiudadArequipa
Período19/10/1523/10/15

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