Human Sperm Tracking Using Improved Anti-collision Mean Shift Tracking Method
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.
KeywordsSperm motility assessment Collision Non-occluded region
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.
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