Predicting Missing Markers to Drive Real-Time Centre of Rotation Estimation

This paper addresses the problem of real-time location of the joints or centres of rotation (CoR) of human skeletons in the presence of missing data. The data is assumed to be 3d marker positions from a motion capture system. We present an integrated framework which predicts the occluded marker positions using a Kalman filter in combination with inferred information from neighbouring markers and thereby maintains a continuous data-flow. The CoR positions can be calculated with high accuracy even in cases where markers are occluded for a long period of time.

• Type: Conference
• Year: 2008
• Where: AMDO
• Authors: Andreas Aristidou, Jonathan Cameron, Joan Lasenby
• Keywords: 3d Marker Positions, AMDO 2008, Computer Graphics, Marker Positions, Occluded Marker Positions