A Pseudo-Sample Based Low Cost 3D Human Motion Capture System Using Wireless Camera Sensor Network

Abstract

There is a growing interest in 3D contents in the global market following the recent developments in 3D movies, 3D TVs, and 3D smartphones. However, the 3D content creation is still dominated by professionals due to the high cost of 3D motion capture instruments. The availability of a low-cost motion capture system will promote 3D content generation by general users and accelerate the growth of the 3D market. In this paper, we propose a real-time low-cost motion capture system, called Samba. The Samba motion capture system is based on a portable low-cost wireless camera sensor network and it can reconstruct accurate 3D full-body poses at 16 frames per second using only eight markers on the subject body. The processing times on camera motes are significantly reduced by using a smaller number of markers. A pseudo-pose based data-driven 3D human pose reconstruction method is proposed to reduce the required computation time and to improve the 3D reconstruction accuracy. The performance of Samba is evaluated extensively in experiments.