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- ArticleDecember 2013
No Matter Where You Are: Flexible Graph-Guided Multi-task Learning for Multi-view Head Pose Classification under Target Motion
ICCV '13: Proceedings of the 2013 IEEE International Conference on Computer VisionPages 1177–1184https://doi.org/10.1109/ICCV.2013.150We propose a novel Multi-Task Learning framework (FEGA-MTL) for classifying the head pose of a person who moves freely in an environment monitored by multiple, large field-of-view surveillance cameras. As the target (person) moves, distortions in facial ...