Free-viewpoint video of human actors
ACM SIGGRAPH 2003 Papers
Continuous capture of skin deformation
ACM SIGGRAPH 2003 Papers
Enhancing Silhouette-Based Human Motion Capture with 3D Motion Fields
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
Real-Time Markerless Human Body Tracking Using Colored Voxels and 3-D Blobs
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Combining 3D flow fields with silhouette-based human motion capture for immersive video
Graphical Models - Special issue on pacific graphics 2003
Marker-free kinematic skeleton estimation from sequences of volume data
Proceedings of the ACM symposium on Virtual reality software and technology
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
Temporal Nearest End-Effectors for Real-Time Full-Body Human Actions Recognition
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Kinetic Pseudo-energy History for Human Dynamic Gestures Recognition
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
SparseSPOT: using a priori 3-D tracking for real-time multi-person voxel reconstruction
Proceedings of the 16th ACM Symposium on Virtual Reality Software and Technology
A multiple camera system with real-time volume reconstruction for articulated skeleton pose tracking
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
A real-time system for full body interaction with virtual worlds
EGVE'04 Proceedings of the Tenth Eurographics conference on Virtual Environments
| Hi-index | 0.00 |
The acquisition of human motion data is of major importance for creating interactive virtual environments, intelligent user interfaces, and realistic computer animations. Today's performance of off-the-shelf computer hardware enables marker-free non-intrusive optical tracking of the human body. In addition, recent research shows that it is possible to efficiently acquire and render volumetric scene representations in real-time. This paper describes a system to capture human motion at interactive frame rates without the use of markers or scene-intruding devices. Instead, 2D computer vision and 3D volumetric scene reconstruction algorithms are applied directly to the image data. A person is recorded by multiple synchronized cameras, and a multi-layer hierarchical kinematic skeleton is fitted to each framein a two-stage process. We present results with a prototype system running on two PCs.