使用空间时间形状差分图像进行动作识别

Action Recognition Using Space-time Shape Difference Images

一般动作识别的方法需要使用一段空间和时间的2D轮廓作为进一步提取有用特征的基础。在这篇文章里,我们提出一种新的基于差分图像的运动表达方式,并且说明了这种表达方式在动作识别中的有效性。实验结果证明了这个方法的高准确度并且对视频分辨率不敏感。

A common approach to human action recognition is to use 2-D silhouettes in the space-time volume as a basis for further extracting useful features.In this paper,we present a novel motion representation based on difference images.We show that this representation exploits the dynamics of motion,and show its effectiveness in action recognition.Moreover,experimental results demonstrate that this method is highly accurate and is not sensitive to the resolution of the video.