A stabilized adaptive appearance changes model for 3D head tracking


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Zivkovic, Zoran and Heijden, Ferdinand van der (2001) A stabilized adaptive appearance changes model for 3D head tracking. In: IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, 2001, 13 July 2001, Vancouver, BC (pp. pp. 175-181).

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Abstract:A simple method is presented for 3D head pose estimation and tracking in monocular image sequences. A generic geometric model is used. The initialization consists of aligning the perspective projection of the geometric model with the subjects head in the initial image. After the initialization, the gray levels from the initial image are mapped onto the visible side of the head model to form a textured object. Only a limited number of points on the object is used allowing real-time performance even on low-end computers. The appearance changes caused by movement in the complex light conditions of a real scene present a big problem for fitting the textured model to the data from new images. Having in mind real human-computer interfaces we propose a simple adaptive appearance changes model that is updated by the measurements from the new images. To stabilize the model we constrain it to some neighborhood of the initial gray values. The neighborhood is defined using some simple heuristics
Item Type:Conference or Workshop Item
Copyright:© 2001 IEEE
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/42278
Official URL:http://dx.doi.org/10.1109/RATFG.2001.938928
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Metis ID: 200954