Adaptive template method for early recognition of gestures

Adaptive template method for early recognition of gestures
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DOI:
10.1109/fcv.2011.5739719
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发表时间:
2011-03
期刊:
2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)
影响因子:
--
通讯作者:
M. Kawashima;Atsushi Shimada;H. Nagahara;R. Taniguchi
M. Kawashima;Atsushi Shimada;H. Nagahara;R. Taniguchi
中科院分区:
其他
文献类型:
--
作者:
M. Kawashima;Atsushi Shimada;H. Nagahara;R. Taniguchi

文献摘要

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我们提出了一种新的方法进行早期手势识别。早期手势识别是一种在手势模式的起始部分识别序列手势模式的方法。使用早期手势识别,我们可以减少延迟,增加系统的交互性。早期识别问题的关键是如何识别手势的起始部分。通常,参考姿势由姿势序列组成。因此,为了实现早期识别,我们必须选择姿态序列的开始部分。在本文中,我们提出了一种方法来获得这样的姿态序列的开始部分,并通过一些实验证明其有效性。
We propose a new approach for early gesture recognition. Early gesture recognition is a method to recognize sequential posture patterns at their beginning parts. Using early gesture recognition, we can reduce the delay and increase the interactivity of the system. The key issue of early recognition problem is how to recognize the beginning part of gesture. Generally, a reference gesture consists of a sequence of postures. Therefore, to realize early recognition we have to select beginning parts of the posture sequences. In this paper, we propose a method to obtain such beginning parts of the posture sequences, and demonstrate its effectiveness through some experiments.