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         author = {Funes Mora, Kenneth Alberto},
       keywords = {Gaze estimation, HCI, Head pose tracking, HHI, HRI, Speech},
       projects = {Idiap, TRACOME, HUMAVIPS, SONVB},
          month = dec,
          title = {3D Head Pose and Gaze Tracking and Their Application to Diverse Multimodal Tasks},
      booktitle = {Doctoral consortium of the 15th ACM International Conference on Multimodal Interaction},
           year = {2013},
       location = {Sydney, Australia},
            doi = {10.1145/2522848.2532192},
       abstract = {In this PhD thesis the problem of 3D head pose and gaze tracking from minimal user cooperation is addressed. By exploiting characteristics of RGB-D sensors, contributions
have been made related to consequent problems of the lack of cooperation: in particular, head pose and inter-person appearance variability; in addition to low resolution handling. The resulting system enabled diverse multimodal applications. In particular, recent work combined multiple RGB-D sensors to detect gazing events in dyadic interactions.
The research plan consists of: i) Improving the robustness, accuracy and usability of the head pose and gaze tracking system; ii) To use additional multimodal cues, such as speech and dynamic context, to train and adapt gaze models in an unsupervised manner; iii) To extend the application of 3D gaze estimation to diverse multimodal applications. This includes visual focus of attention tasks involving multiple visual targets, e.g. people in a meeting-like setup.}