Volume Motion Template for View-Invariant Gesture Recognition
Volume Motion Template for View-Invariant Gesture Recognition
复制标题
用于视图不变手势识别的体积运动模板
DOI：
10.1109/icpr.2006.1183
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Seong
中科院分区：
文献类型：
--
作者：
Myung;Ho;Sang;Seong
手势的表示会根据相机视点动态变化。这一摄像机视点问题在具有单一方向摄像机的环境中很难解决，因为用于表示手势的形状和运动信息在不同的视点上是不同的。在基于视图的方法中，需要每个视点的数据，这在手势识别中是无效的和模糊的。本文提出了一种体积运动模板(VMT)来解决单向立体摄像机环境中的视点问题。VMT使用视差图表示3D空间中的运动信息。运动方向由3D运动信息确定。通过运动定向得到VMT在最佳虚拟视点的投影。该方法不仅不受视点变化的影响，而且能够表示深度运动。使用包含光轴上平行运动的手势序列，对该方法进行了视点不变表示和识别。实验结果证明了该方法在视觉不变手势识别中的有效性
The representation of gestures changes dynamically, depending on camera viewpoints. This camera viewpoints problem is difficult to solve in environments with a single directional camera, since the shape and motion information for representing gestures is different at different viewpoints. In view-based methods, data for each viewpoint is required, which is ineffective and ambiguous in recognizing gestures. In this paper, we propose a volume motion template (VMT) to overcome the viewpoint problem in a single-directional stereo camera environment. The VMT represents motion information in 3D space using disparity maps. Motion orientation is determined with 3D motion information. The projection of VMT at the optimal virtual viewpoint can be obtained by motion orientation. The proposed method is not only independent of variations of viewpoints, but also can represent depth motion. The proposed method has been evaluated in view-invariant representation and recognition using the gesture sequences which include parallel motion in an optical axis. The experimental results demonstrated the effectiveness of the proposed VMT for view-invariant gesture recognition