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2010
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Group motion segmentation using a Spatio-Temporal Driving Force Model

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Group motion segmentation using a Spatio-Temporal Driving Force Model
We consider the `group motion segmentation' problem and provide a solution for it. The group motion segmentation problem aims at analyzing motion trajectories of multiple objects in video and finding among them the ones involved in a `group motion pattern'. This problem is motivated by and serves as the basis for the `multi-object activity recognition' problem, which is currently an active research topic in event analysis and activity recognition. Specifically, we learn a Spatio-Temporal Driving Force Model to characterize a group motion pattern and design an approach for segmenting the group motion. We illustrate the approach using videos of American football plays, where we identify the offensive players, who follow an offensive motion pattern, from motions of all players in the field. Experiments using GaTech Football Play Dataset validate the effectiveness of the segmentation algorithm.
Ruonan Li, Rama Chellappa
Added 10 Feb 2011
Updated 10 Feb 2011
Type Journal
Year 2010
Where CVPR
Authors Ruonan Li, Rama Chellappa
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