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.
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Mancas, M., Glowinski, D., Volpe, G., Coletta, P., Camurri, A. (2010). Gesture Saliency: A Context-Aware Analysis. In: Kopp, S., Wachsmuth, I. (eds) Gesture in Embodied Communication and Human-Computer Interaction. GW 2009. Lecture Notes in Computer Science(), vol 5934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12553-9_13
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DOI: https://doi.org/10.1007/978-3-642-12553-9_13
Publisher Name: Springer, Berlin, Heidelberg
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