Comparison and implementation of motion detection methods for sperm detection and tracking

Author

Nurhadiyatna, A. ; Latifah, Arnida L. ; Fryantoni, Driszal ; Wirahman, T. ; Wijayanti, R. ; Muttaqien, F.H.

Author_Institution

Res. Center for Inf., Indonesian Inst. of Sci. (LIPI), Bandung, Indonesia

fYear

2014

fDate

10-12 Nov. 2014

Firstpage

1

Lastpage

5

Abstract

Intra Cytoplasmic Sperm Injection (ICSI) is one of in-Vitro Fertilization (IVF) method that inseminating embryos and sperms outside of human body. This procedure has very low successful rate, with average of 30%. To improve the success rate of this method, there are many approaches have been done. One of those methods is analyzing sperm morphology and its motility as an attempt to obtain the best sperm. This approach needs detecting and tracking methods to conduct grading step. In this paper we compared a few motion detection methods to detect and track human sperm. Experiment result showed that Gaussian Mixture Model with Hole Filling Algorithm obtains the highest for human sperms detection.

Keywords

Gaussian processes; cell motility; mixture models; motion compensation; patient diagnosis; Gaussian mixture model; cell motility; embryo insemination; hole filling algorithm; human sperm detection; human sperm tracking; in-vitro fertilization method; intra cytoplasmic sperm injection; motion detection methods; Accuracy; Filling; Gaussian mixture model; Kalman filters; Object tracking; ICSI; IMSI; IVF; Sperm Detecting and Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Micro-NanoMechatronics and Human Science (MHS), 2014 International Symposium on

Conference_Location

Nagoya

Print_ISBN

978-1-4799-6678-3

Type

conf

DOI

10.1109/MHS.2014.7006125

Filename

7006125