Using multiple cameras to construct 3D avatar from 2D video based on thinning and tracking algorithm

In this paper, an adaptive approach to skeleton detection is presented.First, we proposed a method to combine thinning and tracking algorithm which can find the skeleton tracking points, and the points would be reconstructed by using multiple cameras to obtain the 3D coordinates the X, Y, and Z-axis coordinates. The coordinates can be converted into three-dimensional human avatar. The joints of human avatar can be found by the thinning algorithm, and using object tracking to find the joints when the objects are disappeared. The avatar can be applied to the application such as Human computer interaction, entertainments, etc.