An Improved Method of Tracking the Motion of Sperm Target

Article Preview

Abstract:

This paper analyzes the multi-target tracking of sperm by using the improved nearest neighbor data association tracking method which predicts the position where the sperm may appear in the next frame by computing the interframe-distance and direction of the sperm. Also, in order to dealing with the situation of tracking lose and many-to-one tracking, we proposed two processing methods for sperm re-tracking of tracking lost compensation and tracking forecast minimum-range. The experiment shows this algorithm has better tracking accuracy and higher efficiency.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2940-2943

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J Y Yu, Z Y Wang. Design and Implementation of the sperm of multi-target detection and tracking algorithm, Computer Engineering and Design, 2010, 2076-(2079).

Google Scholar

[2] Oku H, Ishikawa M, Ogawa N, Shiba K, Yoshida M. How to Track Spermatozoa using High-Speed Visual Feedback, Conf Proc IEEE Eng Med Biol Soc[C]. 2008, 2008: 125-128.

DOI: 10.1109/iembs.2008.4649106

Google Scholar

[3] Song Li. Animal sperm automatic analysis system development and research, GuangXi Light Industry, 2010(9): 72-74.

Google Scholar

[4] YU Jiang-you, WANG Zhi-yan, ZHANG Yan-qing. Design and implementation of algorithm of multiple detecting and tracking for sperm analysis, Computer Engineering and Design. 2010(31)9: 2076-(2079).

Google Scholar

[5] Z Cai, R G Huang. Multi-target tracking of motion image sequence, Computer and Digital Engineering, 2005, 34(9): 140-143.

Google Scholar