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"Occlusion Robust Low-Contrast Sperm Tracking Using Switchable Weight Particle Filtering"
written by Mohammadreza Ravanfar, Leila Azinfar, Mohammad Hassan Moradi, Reza Fazel-Rezai ,
published by Advances in Sexual Medicine, Vol.4 No.3, 2014
has been cited by the following article(s):
[1]
Pratana Kukieattikool, Ladawan Klinkusoom, Watcharakon Noothong, Piruin Panichphol
[4]
Efficient and robust segmentation and tracking of sperm cells in microscopic image sequences
2019
[5]
A Survey on Multisperm Tracking for Sperm Motility Measurement
2017
[6]
Objective assessment of bull sperm motility parameters using computer vision algorithms
African Journal of Biotechnology
2017
[7]
A New Region-Based Adaptive Thresholding For Sperm Motility Segmentation
2017
[8]
Multi-sperm tracking using Hungarian Kalman Filter on low frame rate video
2016
[9]
A NEW REGION-BASED ADAPTIVE THRESHOLDING FOR SPERM MOTILITY SEGMENTATION.
Malaysian Journal of Computer Science
2016
[11]
Automatic sperm motility measurement
2015
[12]
Visual Tracking for Abrupt Motions of Human Sperm Using Smoothing Stochastic Approximate Monte Carlo
Procedia Computer Science
2015