Articulated human motion tracking using a SOG-PF algorithm

Abstract

This paper proposes a marker-free motion capture system to track articulated human motion using a new sum-of-Gaussian particle filter (SOG-PF) algorithm. The proposed motion capture system records multi-view color image sequences of human motion with synchronized multiple cameras. Then, the new SOG-PF algorithm that effectively combines 3D and 2D SOG models with a particle filter algorithm is adopted to track articulated human motion from multi-view color image sequences without visual markers. The performance of the proposed system is verified with real experiments.