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• W2099927284 abstract "In this paper, we propose a new tracking system based on a stochastic filtering framework for reliably estimating the 3D pose of a user’s head in real-time. Our system estimates the pose of a user’s head in each image frame whose 3D model is automatically obtained at an initialization step. In particular, our estimation method is designed to control the difusion factor of a motion model adaptively. This technique contributes significantly to improving the following performance simultaneously: the robust tracking against abrupt head motion and the accurate pose estimation when the user is staring at a point in a scene. The performance of our proposed method has been successfully demonstrated via experiments." @default.
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• W2099927284 date "2005-12-01" @default.
• W2099927284 modified "2023-10-03" @default.
• W2099927284 title "Head Pose Estimation System Based on Particle Filtering with Adaptive Diffusion Control" @default.
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