Tracking the activity of participants in a meeting

A vision system suitable for a smart meeting room able to analyse the activities of its occupants is described. Multiple people were tracked using a particle filter in which samples were iteratively re-weighted using an approximate likelihood in each frame. Trackers were automatically initialised an...

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Bibliographic Details
Published in:Machine vision and applications 2006-05, Vol.17 (2), p.83-93
Main Authors: Charif, Hammadi Nait, McKenna, Stephen J.
Format: Article
Language:English
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Summary:A vision system suitable for a smart meeting room able to analyse the activities of its occupants is described. Multiple people were tracked using a particle filter in which samples were iteratively re-weighted using an approximate likelihood in each frame. Trackers were automatically initialised and constrained using simple contextual knowledge of the room layout. Person-person occlusion was handled using multiple cameras. The method was evaluated on video sequences of a six person meeting. The tracker was demonstrated to outperform standard sampling importance re-sampling. All meeting participants were successfully tracked and their actions were recognised throughout the meeting scenarios tested.
ISSN:0932-8092
1432-1769
DOI:10.1007/s00138-006-0015-5