Real-time performance capture using multiple Kinects
Seongmin Baek, Myungyu Kim · 2014
There have been many cases applying recognized user movements in games as low-cost sensor such as Microsoft Kinect and Asus Xtion have appeared, but there is limitation in capturing user movements with one sensor. This paper uses multiple kinect sensors to propose a method to capture user performance. By solving calibration and synchronization problems between sensors and appropriately combining input data, stable performance capture is possible even in occlusion of body parts.