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Human action recognition based on two-view optical flow in the transformed domain

机译:人体行动识别基于转换域中的双视光流动

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In this paper a human action recognition algorithm based on two-view of optical flow in multiple layers per camera employing the transform domain and 2DPCA is presented. This method explores more distinctive features between actions. It is not sensitive to translation, alignment and noise. In addition the use of 2DPCA maintains the spatial relation between pixels and increases the recognition accuracy. Experimental results performed on the Weizmann and IXMAS datasets confirm these excellent properties compared to recent reported methods.
机译:本文提出了一种基于采用变换域和2DPCA的每相机多层的多层的光流的人体动作识别算法。此方法探讨了操作之间的更具独特的功能。它对翻译,对准和噪声不敏感。此外,使用2DPCA在像素之间保持空间关系并提高识别精度。与最近报告的方法相比,对Weizmann和IXMAS数据集进行的实验结果确认了这些优异的性能。

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