Graf, Holger ; Yoon, Sang Min ; Malerczyk, Cornelius (2010)
Real-Time 3D Reconstruction and Pose Estimation for Human Motion Analysis.
IEEE International Conference on Image Processing. Proceedings.
Conference or Workshop Item, Bibliographie
Abstract
In this paper, we present a markerless 3D motion capture system based on a volume reconstruction technique of non rigid bodies. It depicts a new approach for pose estimation in order to fit an articulated body model into the captured real-time information. We aim at analyzing athlete's movements in real-time within a 3D interactive graphics system. The paper addresses recent trends in vision based analysis and its fusion with 3D interactive computer graphics. Hence, the proposed system presents new methods for the 3D reconstruction of human body parts from calibrated multiple cameras based on voxel carving techniques and a 3D pose estimation methodology using Pseudo-Zernike Moments applied to an articulated human body model. Several algorithms have been designed for the deployment within a GPGPU environment allowing us to calculate several principle process steps from segmentation and reconstruction to volume optimization in real-time.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2010 |
| Creators: | Graf, Holger ; Yoon, Sang Min ; Malerczyk, Cornelius |
| Type of entry: | Bibliographie |
| Title: | Real-Time 3D Reconstruction and Pose Estimation for Human Motion Analysis |
| Language: | English |
| Date: | 2010 |
| Publisher: | The Institute of Electrical and Electronics Engineers (IEEE), New York |
| Event Title: | IEEE International Conference on Image Processing. Proceedings |
| Abstract: | In this paper, we present a markerless 3D motion capture system based on a volume reconstruction technique of non rigid bodies. It depicts a new approach for pose estimation in order to fit an articulated body model into the captured real-time information. We aim at analyzing athlete's movements in real-time within a 3D interactive graphics system. The paper addresses recent trends in vision based analysis and its fusion with 3D interactive computer graphics. Hence, the proposed system presents new methods for the 3D reconstruction of human body parts from calibrated multiple cameras based on voxel carving techniques and a 3D pose estimation methodology using Pseudo-Zernike Moments applied to an articulated human body model. Several algorithms have been designed for the deployment within a GPGPU environment allowing us to calculate several principle process steps from segmentation and reconstruction to volume optimization in real-time. |
| Uncontrolled Keywords: | Content based video analysis, 3D Reconstruction, Pose estimation, Vision based motion capture |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 12 Nov 2018 11:16 |
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