3-D real-time image matching based on kinect skeleton

We present a 3-D real-time image matching system based on the skeleton tracking module of Kinect Sensor. To determine an optimal correspondence between real- time and standard image data, we use a dimensional angular representation as a descriptor of the skeleton designed for recognition robustness under noisy input. And we compute a distance metric to evaluate the difference in motion between the poser´s body and the template. The grading formula for image matching is adaptively based on our experimental data, which makes our system, stands a high accuracy under input noise from the real-time depth sensor.