Interactive control of avatars animated with human motion data
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Local and Global Skeleton Fitting Techniques for Optical Motion Capture
CAPTECH '98 Proceedings of the International Workshop on Modelling and Motion Capture Techniques for Virtual Environments
Skeletal Parameter Estimation from Optical Motion Capture Data
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A real-time sequential algorithm for human joint localization
SIGGRAPH '05 ACM SIGGRAPH 2005 Posters
Smart solutions for risk prevention through analysis of people movements
GPC'11 Proceedings of the 6th international conference on Grid and Pervasive Computing
Hi-index | 0.00 |
This paper is concerned with real-time approaches to using marker-based optical motion capture to identify, parametrize, and estimate the frame by frame configuration of the human skeleton. An overview of the stages of a system is provided with the main emphasis devoted to two new methods for refining the rotation estimates used within the transformational algorithm class of joint parameter estimation methods. Virtual Marker Insertion uses additional markers inserted at the current estimates of joint location to partially enforce the concurrency of available joint location estimates. This simple algorithm is shown to outperform the methods presented in the literature. A conjugate gradient optimization on a minimal parameterization of the standard transformational algorithm cost function gives superior results, but at considerable computational cost, limiting its probable application to those frames which are actually rendered in a feedback system.