Multiple Hypothesis Tracking for Automatic Optical Motion Capture
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Automatic and Robust Computation of 3D Medial Models Incorporating Object Variability
International Journal of Computer Vision - Special Issue on Research at the University of North Carolina Medical Image Display Analysis Group (MIDAG)
Articulated joint estimation from motion using two monocular images
Pattern Recognition Letters
A Method for Designing Marker-Based Tracking Probes
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Motion Analysis of Articulated Objects from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time human motion analysis for human-machine interface
Proceedings of the Working Conference on Advanced Visual Interfaces
DynaMMo: mining and summarization of coevolving sequences with missing values
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Seleton-based data compression for multi-camera tele-immersion system
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Efficient marker matching using pair-wise constraints in physical therapy
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Full body interaction for serious games in motor rehabilitation
Proceedings of the 2nd Augmented Human International Conference
Real-time upper-body human pose estimation using a depth camera
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
Predicting missing markers in real-time optical motion capture
3DPH'09 Proceedings of the 2009 international conference on Modelling the Physiological Human
Reconstructing motion capture data for human crowd study
MIG'11 Proceedings of the 4th international conference on Motion in Games
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
Fitting distal limb segments for accurate skeletonization in human action recognition
Journal of Ambient Intelligence and Smart Environments
Tracking of manufacturing tools with cylindrical markers
Proceedings of the 18th ACM symposium on Virtual reality software and technology
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Optical motion capture provides an impressive ability to replicate gestures. However, even with a highly professional system there are many instances where crucial markers are occluded or when the algorithm confuses the trajectory of one marker with that of another. This requires much editing work on the part of the animator before the virtual characters are ready for their screen debuts. In this paper, we present an approach to increasing the robustness of a motion captures system by using a sophisticated anatomic human model. It includes a precise description of the skeleton's mobility and an approximated envelope. It allows us to accurately predict the 3-D location and visibility of markers, thus significantly increasing the robustness of marker tracking and assignment, and drastically reducing-or even eliminating-the need for human intervention during the 3-D reconstruction process.