Robust tracking of head and arm for model-based image coding

Robert Hsu; Hiroshi Harashima

doi:10.1117/12.185996

16 September 1994 Robust tracking of head and arm for model-based image coding

Robert Hsu, Hiroshi Harashima

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185996
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

Model-based image coding is potentially a powerful technique for compressing scenes dominated by the head-shoulder images, as in a videotelephone scene with a closeup of the human upper-body. In this paper we describe a Kalman filtering-based technique to robustly recover 3D structure and kinematics of the head and arm in view from optical flow. Because of its explicit modeling of measurement noise and modeling uncertainty, the extended Kalman filter has been shown to improve the robustness of shape-from-motion technique. The robustness of the recursive estimation technique is further enhanced by (1) confining feature- tracking within the neighborhoods of skeleton sketch of the head and arm, (2) formulating measurement noise of the optical flow as a function of the optical flow's confidence measures, and (3) fusing into the recursive estimation a set of constraints which govern kinematic linkages of an articulated arm.

Citation Download Citation

Robert Hsu and Hiroshi Harashima "Robust tracking of head and arm for model-based image coding", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185996

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