@inproceedings{4b45dc7a12244c57995d87554377a670,
title = "Tracking of human sperm in time-lapse images",
abstract = "Human sperm motility analysis is a key method in assessing male fertility. It was suggested that performance of automatic sperm motility analysis systems can be enhanced by adopting multi-target tracking algorithms developed originally for radar technology. We review and appraise several target tracking algorithms operating on synthetic and actual sperm images and compare their performance. Simulations and observations of images of real sperm cells suggest that the joint probability data association filter with track-coalescence-avoiding (JPDA) outperforms other evaluated algorithms. This is also the result obtained on images of swimming tadpoles.",
keywords = "Human sperm tracking, Performance evaluation, Sperm motility, Tracking algorithm",
author = "Chizhong Wang and Choi, {Ji Won} and Urbano, {Leonardo F.} and Puneet Masson and Matthew Vermilyea and Moshe Kam",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE 3rd International Conference on Signal and Image Processing, ICSIP 2018 ; Conference date: 13-07-2018 Through 15-07-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/SIPROCESS.2018.8600463",
language = "English (US)",
series = "2018 IEEE 3rd International Conference on Signal and Image Processing, ICSIP 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "197--201",
booktitle = "2018 IEEE 3rd International Conference on Signal and Image Processing, ICSIP 2018",
address = "United States",
}