Abstract
Sperm tracking is challenging in sperm motility assessment. Most of the existing methods are not able to track the object while the collision between sperms are occurred. This paper introduces an anti-collision method to detect the collision and track sperm robustly. By using the pixel weight and moment features, the new non-occluded region is extracted to perform the tracking under collision condition. Based on the results, the proposed method is able to solve the existing drawbacks and producing low Bhattacharyya distance results compared with standard mean shift tracking method. In future, this method is expected to be implement on multiple sperm tracking and classifying sperm motility categories according to the latest WHO manual.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Hu, W., Tan, T., Wang, L., Maybank, S.: A survey on visual surveillance of object motion and behaviors. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 34, 334–352 (2004). https://doi.org/10.1109/TSMCC.2004.829274
Abbiramy, V.S., Shanthi, V.: Spermatozoa segmentation and morphological parameter analysis based detection of teratozoospermia. Int. J. Comput. Appl. 3, 19–23 (2010)
Shi, L.Z., Nascimento, J.M., Berns, M.W., Botvinick, E.L.: Computer-based tracking of single sperm. J. Biomed. Opt. 11, 54009 (2006). https://doi.org/10.1117/1.2357735
Nafisi, V.R., Moradi, M.H., Nasr-Esfahani, M.H.: A template matching algorithm for sperm tracking and classification. Physiol. Meas. 26, 639–651 (2005). https://doi.org/10.1088/0967-3334/26/5/006
Kailath, T.: The divergence and Bhattacharyya distance measures in signal selection. IEEE Trans. Commun. Technol. 15, 52–60 (1967). https://doi.org/10.1109/TCOM.1967.1089532
Ning, J., Zhang, L., Zhang, D., Wu, C.: Scale and orientation adaptive mean shift tracking. IET Comput. Vis. 6, 52 (2012). https://doi.org/10.1049/iet-cvi.2010.0112
Khan, Z.H., Gu, I.Y.-H., Backhouse, A.G.: Robust visual object tracking using multi-mode anisotropic mean shift and particle filters. IEEE Trans. Circuits Syst. Video Technol. 21, 74–87 (2011). https://doi.org/10.1109/tcsvt.2011.2106253
Acknowledgements
This research is supported by USM Research University (Individual) grant entitled “Development of Automated Intelligent Karyotyping System for Classifying Abnormal Chromosome” and by Ministry of Higher Education (MOHE) under MyPhD Scholarship.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Tan, W.C., Mat Isa, N.A., Mohamed, M. (2019). Human Sperm Tracking Using Improved Anti-collision Mean Shift Tracking Method. In: Zawawi, M., Teoh, S., Abdullah, N., Mohd Sazali, M. (eds) 10th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 547. Springer, Singapore. https://doi.org/10.1007/978-981-13-6447-1_12
Download citation
DOI: https://doi.org/10.1007/978-981-13-6447-1_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6446-4
Online ISBN: 978-981-13-6447-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)