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Action Recognition System with the Microsoft KinectV2 Using a Hidden Markov Model

机译:使用隐藏的马尔可夫模型的Microsoft KinectV2动作识别系统

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This paper proposes the independent human action recognition for more practical use, using the depth image and the Joint Points from the Microsoft KinectV2. The threshold value not only for the binarization of the depth image but also for the others except for the circularity was chosen automatically. Moreover, the value of the background is not even value but some depth value. In my previous research, the background image was simple so that the foreground area could be easily extracted as the binary image from the depth image by the threshold value chosen automatically. The whole human silhouette is difficult to be get with the uneven background. This problem can be overcome by subtraction between the two depth information in the current image and the background image.
机译:本文使用Microsoft KinectV2的深度图像和联合点,提出了一种更实用的独立人类动作识别方法。自动选择阈值,不仅用于深度图像的二值化,还用于除圆度以外的其他阈值。此外,背景的值不是均匀值,而是某个深度值。在我以前的研究中,背景图像很简单,因此可以通过自动选择的阈值轻松地从深度图像中提取前景区域作为二值图像。整个人的轮廓很难在不均匀的背景下获得。通过在当前图像和背景图像中的两个深度信息之间相减可以克服该问题。

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