2010 | OriginalPaper | Chapter
Gesture Saliency: A Context-Aware Analysis
Authors : Matei Mancas, Donald Glowinski, Gualtiero Volpe, Paolo Coletta, Antonio Camurri
Published in: Gesture in Embodied Communication and Human-Computer Interaction
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.