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 [BibTeX] [Marc21]
Recognizing Human Visual Focus of Attention from Head Pose in Meetings
Type of publication: Journal paper
Citation: Ba_IEEESMC-B_2008
Journal: IEEE Transactions on Systems, Man, Cybernetics, Part-B
Volume: Vol. 39
Number: No. 1
Year: 2009
Month: 2
Abstract: We address the problem of recognizing the visual focus of attention (VFOA) of meeting participants based on their head pose. To this end, the head pose observations are modeled using a Gaussian Mixture Model (GMM) or a Hidden Markov Model (HMM) whose hidden states corresponds to the VFOA. The novelties of this work are threefold. First, contrary to previous studies on the topic, in our set-up, the potential VFOA of a person is not restricted to other participants only. It includes environmental targets as well (a table and a projection screen,',','), which increases the complexity of the task, with more VFOA targets spread in the pan as well as tilt gaze space. Second, we propose a geometric model to set the GMM or HMM parameters by exploiting results from cognitive science on saccadic eye motion, which allows the prediction of the head pose given a gaze target. Third, an unsupervised parameter adaptation step not using any labeled data is proposed which accounts for the specific gazing behaviour of each participant.
Keywords:
Projects Idiap
AMIDA
IM2
VACE
Authors Ba, Silèye O.
Odobez, Jean-Marc
Added by: [UNK]
Total mark: 0
Attachments
  • Ba_IEEESMC-B_2008.pdf
Notes