Nour Eldeen M. Khalifa

Citation:

Khalifa, N. E. M., M. H. N. Taha, and A. E. Hassanien, "Automatic Counting and Visual Multi-tracking System for Human Sperm in Microscopic Video Frames", The International Conference on Advanced Intelligent Systems and Informatics 2018. AISI 2018. Advances in Intelligent Systems and Computing, vol 845. Springer, Cham, Cairo, Egypt, 1 September, 2018. copy at http://scholar.cu.edu.eg/?q=nourmahmoud/publications/automatic-counting-and-visual-multi-tracking-system-human-sperm-microscopic

Date Presented:

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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