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Multiple sperm tracking in microscopic videos using modified GM-PHD filter

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A Correction to this article was published on 30 January 2018

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Abstract

This paper presents a method for simultaneous tracking of multiple sperms using modified Gaussian mixture probability hypothesis density (GM-PHD) filter. In order to track sperms with spurious motion, a modified model is presented to adapt the GM-PHD filter for nonlinear dynamic movement of sperms. Furthermore, the “pruning” step in the GM-PHD filter is modified to handle situations like occlusion or closely moving targets. Our experiments demonstrate more effectivity of the proposed method in terms of sperms’ occlusion handling and trajectory extraction compared to the conventional GM-PHD filter. In particular, the new method performs well in managing the labels of occluded sperms after separation and in tracking of temporarily disappeared sperms when they emerge again in the tracking space.

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  • 30 January 2018

    In the original article, one of the co-author’s (Hamed Danandeh Hesar) first name has been published incorrectly. The correct given name should be Hamed.

Notes

  1. Multiple Hypothesis Tracking.

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Correspondence to Hamid Abrishami Moghaddam.

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The original version of this article was revised: one of the co-author’s (Hamed Danandeh Hesar) first name has been published incorrectly.

A correction to this article is available online at https://doi.org/10.1007/s00138-018-0910-6.

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Hesar, H.D., Abrishami Moghaddam, H., Safari, A. et al. Multiple sperm tracking in microscopic videos using modified GM-PHD filter. Machine Vision and Applications 29, 433–451 (2018). https://doi.org/10.1007/s00138-017-0897-4

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  • DOI: https://doi.org/10.1007/s00138-017-0897-4

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