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 | |
| Added by: | [UNK] |
| Total mark: | 0 |
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