Abstract
This paper presents a novel approach to detect interaction groups in intelligent environments. To understand human activity, we must identify human actors as well as their interpersonal links. Interaction detection is a good cue to address activity of user groups. An attentional model is derived from gravitational model and cognitive psychology approaches. Whereas determining locally users’ focus of attention is a difficult task, this model exploits contextual elements such as position, speed and saliency of objects in the scene to estimate shared attention. The attentional model shows promising results on simulated scenarios where unexpected events occur.
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Maisonnasse, J., Gourier, N., Brdiczka, O., Reignier, P. (2006). Attentional Model for Perceiving Social Context in Intelligent Environments. In: Maglogiannis, I., Karpouzis, K., Bramer, M. (eds) Artificial Intelligence Applications and Innovations. AIAI 2006. IFIP International Federation for Information Processing, vol 204. Springer, Boston, MA . https://doi.org/10.1007/0-387-34224-9_20
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DOI: https://doi.org/10.1007/0-387-34224-9_20
Publisher Name: Springer, Boston, MA
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