We present a framework for articulated body model acquisition and tracking from voxel data. A 3D voxel reconstruction of the person's body is computed from silhouettes extracted from four cameras. The model acquisition process is fully automated. In the first frame, body parts are located sequentially. The head is located first, since its shape and size are unique and stable. Other parts are found by sequential template growing and fitting. This initial estimate of body part locations, sizes and orientations is then used as a measurement for the extended Kalman filter which ensures a valid articulated body model. The same filter, with a slightly modified state and state transition matrix, is then used for tracking. The performance of the system has been evaluated on several video sequences with promising results.
Articulated body posture estimation from multi-camera voxel data
2001-01-01
675044 byte
Conference paper
Electronic Resource
English
Articulated Body Posture Estimation from Multi-Camera Voxel Data
British Library Conference Proceedings | 2001
|MAP1.11 Human Posture Estimation using Voxel Data for "Smart" Airbag Systems: Issues and Framework
British Library Conference Proceedings | 2004
|