Repairing the sheltered human skeleton based on natural interaction

Posture is an action expression of the specific requirements of the limbs and body interaction or human behavior. But human movement often has a self-occlusions or sheltered phenomenon, such as the hands swing and foot alternating when a man walking. For body occlusion problem, based on human perception, humans have the repairing ability to automatically represent body appearance and predict action mode. So far, there is not a powerful technology to solve this problem, but it is very important and valuable scheme especially environment security surveillance or patient attention. Hence, in this paper, an efficient approach for repairing the lost body information is proposed. The processing steps of this approach consist of two phases: training and testing. The training phase is to capture human skeleton information via shooting the depth image based on natural interaction mechanism and to construct the skeleton database. After training, the correction parameters and scene setting can be obtained to use in testing phase. The testing phase is to reconstruct the lost skeleton of human under shelter and to evaluate the system performance. Experimental results show that the rebuilt human skeleton is very close to the real skeleton like unsheltered situation.