McKenna, S. J. and Nait-Charif, H., 2006. Tracking the activity of participants in a meeting. Machine Vision and Applications, 17 (2), pp. 83-93.
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Official URL: http://www.springerlink.com/content/qtr66278880k65...
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.
|Uncontrolled Keywords:||Smart meeting room Person tracking Particle filtering Action recognition|
|Subjects:||Technology > Engineering > Electrical and Electronic Engineering|
|Group:||Media School > National Centre for Computer Animation|
|Deposited By:||INVALID USER|
|Deposited On:||05 Apr 2007|
|Last Modified:||07 Mar 2013 14:36|
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