Object Segmentation and Successive Modeling Based on Human Action Observation

我开发了一种方法来自动获取的外观模型的人在日常环境中移动的对象。它解决了在没有特定对象知识的情况下，对生活环境中的日常对象进行自动视觉分割的问题。实验结果表明，该方法能够利用人类在日常生活中用手移动物体的动作，自动获取物体图像作为物体的外观模型。

I developed a method to acquire automatically the appearance model of objects moved by human in everyday environments. It solves the problem that automatic visual segmentation of everyday objects in life environment without specific knowledge about objects. The experimental results show the method can automatically acquire the object images as the appearance models of the objects by using human action which moves objects by hands in everyday life.