Tracking the activity of participants in a meeting

Hammadi Nait Charif, Stephen J. McKenna

Research output: Contribution to journalArticle

14 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)83-93
Number of pages11
JournalMachine Vision and Applications
Issue number2
Publication statusPublished - 1 May 2006

Fingerprint Dive into the research topics of 'Tracking the activity of participants in a meeting'. Together they form a unique fingerprint.

  • Cite this