A Modified K-means Algorithm for Noise Reduction in Optical Motion Capture Data
Jan Carlo Barca, Grace Rumantir · 2007
This paper presents a modified K-means algorithm that can be used for removing noise in multicolor motion capture image sequences. These images have been produced using the illuminated line segment based marker system. The proposed algorithm takes into account the nature of the motion capture images in terms of the number of data pixels normally clustered together and the acceptable degree of compactness of a data cluster. The cleaned data can be used for accurate and effective tracking of the captured motion.