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2009
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Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition

9 years 2 months ago
Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition
While video-based activity analysis and recognition has received much attention, existing body of work mostly deals with single object/person case. Coordinated multi-object activities, or group activities, present in a variety of applications such as surveillance, sports, and biological monitoring records, etc., are the main focus of this paper. Unlike earlier attempts which model the complex spatial temporal constraints among multiple objects with a parametric Bayesian network, we propose a Discriminative Temporal Interaction Manifold (DTIM) framework as a data-driven strategy to characterize the group motion pattern without employing specific domain knowledge. In particular, we establish probability densities on the DTIM, whose element, the discriminative temporal interaction matrix, compactly describes the coordination and interaction among multiple objects in a group activity. For each class of group activity we learn a multi-modal density function on the DTIM. A Maximum a Poster...
Ruonan Li, Rama Chellappa, Shaohua Kevin Zhou
Added 18 May 2010
Updated 18 May 2010
Type Conference
Year 2009
Where CVPR
Authors Ruonan Li, Rama Chellappa, Shaohua Kevin Zhou
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