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Proceedings Paper

Tracking face poses toward meeting video analysis
Author(s): Ligeng Dong; Linmi Tao; Guangyou Xu
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Paper Abstract

We perform face tracking and pose estimation jointly within a mixed-state particle filter framework. Previous methods often used generative appearance models and naive prior state transition. We propose to use discriminating models, Adaboosted face detectors, to both measure observations and provide information for the proposal distribution which is combined with detection responses and prior transition model. Due to pose continuity, faces between discrete poses can be detected by neighboring pose-specific detectors and serve as importance samples. Thus continuous poses are obtained instead of discrete poses. Experiments show that our method is robust to large location and pose changes, partial occlusions and expressions.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678603 (15 November 2007); doi: 10.1117/12.751049
Show Author Affiliations
Ligeng Dong, Tsinghua Univ. (China)
Linmi Tao, Tsinghua Univ. (China)
Guangyou Xu, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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