Gesture saliency: a context-aware analysis

Authors:
Matei Mancas;Donald Glowinski;Gualtiero Volpe;Paolo Coletta;Antonio Camurri
Affiliations:
F.P.Ms/IT Research Center/TCTS Lab, University of Mons, Mons, Belgium;INFOMUS Lab, University of Genoa, Italy;INFOMUS Lab, University of Genoa, Italy;INFOMUS Lab, University of Genoa, Italy;INFOMUS Lab, University of Genoa, Italy
Venue:
GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
Year:
2009

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Abstract

This paper presents a motion attention model that aims at analyzing gesture saliency using context-related information at three different levels. At the first level, motion features are compared in the spatial context of the current video frame; at the intermediate level, salient behavior is analyzed on a short temporal context; at the third level, computation of saliency is extended to longer time windows. An attention/saliency index is computed at the three levels based on an information theory approach. This model can be considered as a preliminary step towards context-aware expressive gesture analysis.