Human Body Recognition And Positioning With Multiple Cameras Based On "Vibration Signals" From Skin Surfaces

In this study, we propose a method to recognize and position multiple people with multiple cameras based on the "vibration signals" obtained from their skin surfaces to adapt to an extensive range of scenes. Herein, the principles that the "vibration signals" obtained from the same person can be synchronized using multiple cameras and that the "vibration signals" obtained from different people arc different arc proposed and verified via experiments. The "vibration signals" arc obtained from the human skin surfaces using multiple cameras based on skin-color detection and regional tracking. Further, individuals arc recognized based on the difference and synchronization principle and the cosine similarity. Several people arc positioned with multiple cameras via coordinate calculations, and the maximum positioning distance error is 61.01 cm.