Efficient Skeleton Extraction Method Based on Depth Data in Infrared Self-help Camera System

In order to resolve the problem of unclear identification of human body region, incorrect extraction of skeleton and location of joint position, this paper mainly provides the skeleton extraction method based on depth data in self-help camera system. Firstly, we use the method of structure light to acquire the image and then use the binary way to process it to divide target from background. Then, we combine the algorithm of corrosion and expansion with the threshold method to get a skeletal structure. Finally, we get the relative position of human body, then find out the most likely bend points and locate the joint position according to the largest triangle method. The experiments results show that the skeleton extraction method based on depth data can extract skeletal structure better, and this method segments the background without unnecessary noisy point and blank to extract skeleton in an accurate way. We also design the human-computer interaction of taking photos using this method, and the system is feasible and effective.