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2019 | OriginalPaper | Chapter

Automatic Counting and Visual Multi-tracking System for Human Sperm in Microscopic Video Frames

Authors : Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien

Published in: Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018

Publisher: Springer International Publishing

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Abstract

In this paper, a proposed system for automatic counting and visual multi-tracking for human sperm in microscopic video frames is presented. It can be easily turned into a commercial computer-assisted sperm analysis (CASA) system. CASA systems help in detecting infertility in human sperm according to clinical parameters. The proposed system consists of nine phases and it counts sperm in every single frame of video in real time and calculates the average sperm count through the whole video with accuracy 94.3% if it is compared to the manual counting. Also, it tracks all identified sperm in video frames in real time. It works with different frame rates above 15 frame/s to track visually the movements of the sperm. The dataset consists of three high-quality 1080p videos with different frame rates and durations. Finally, the open challenging research points are addressed.

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Title: Automatic Counting and Visual Multi-tracking System for Human Sperm in Microscopic Video Frames
Authors: Nour Eldeen M. Khalifa
Mohamed Hamed N. Taha
Aboul Ella Hassanien
Publisher: Springer International Publishing
Book: Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018
Print ISBN: 978-3-319-99009-5

Electronic ISBN: 978-3-319-99010-1

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-319-99010-1_48

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