Attention-driven Expression and Gesture Analysis in an Interactive Environment
Attention-driven Expression and Gesture Analysis in an Interactive Environment
复制标题
交互环境中注意力驱动的表情和手势分析
DOI：
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发表时间：
1995
期刊：
影响因子：
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通讯作者：
A. Pentland
中科院分区：
文献类型：
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作者：
Trevor Darrell;A. Pentland
为了向交互环境提供自然的用户界面，需要准确和快速地识别手势和表情。我们采用了一种运行在无约束交互环境中的基于视觉的手势识别策略，该策略使用主动视觉方法来确定基于视觉的方法的上下文线索。使用已经为交互环境实现的视觉例程，我们确定身体突出部分的空间位置，并引导活动相机获得手势或表情的凹陷图像。人脸识别例程用于获得对用户身份的估计，并提供到要使用的最佳视图模板集的索引。由此产生的系统将低分辨率、用户独立的处理与高分辨率、用户特定的模型相结合，所有这些模型都是作为交互环境的一部分进行实时计算的。
To provide natural user interfaces to interactive environments, accurate and fast recognition of gestures and expressions is needed. We adopt a view-based gesture recognition strategy that runs in an un-constrained interactive environment, which uses active vision methods to determine context cuess for the view-based method. Using vision routines already implemented for an interactive environment, we determine the spatial location of salient body parts and guide an active camera to obtain foveated images of gestures or expressions. Face recognition routines used to obtain an estimate of the identity of the user, and provide an index into the best set of view templates to use. The resulting system combines low-resolution, user-independent processing with high-resolution, user-speciic models, all of which are computed in real time as part of an interactive environment.