Analysis of human identification based on kinect depth image
Ran Guangyong · Digital Communication · 2012
Nowadays somatosensory human-computer interaction devices have become hotspot applications in the field of digital media.These devices capture the depth images of players through several inner cameras and sensors,from which human skeletons can be extracted,and players' movement can be tracked and captured.We introduce the research status of depth image in the field of pattern recognition and application of human recognition.Since the recognition of images captured by common cameras shows poor performance in the influence of illumination,posture and overlap,based on the device of Microsoft Kinect,the features of depth images captured by Kinect cameras are analyzed.Then,local gradient features integrating point features and gradient features have been put forward to identify human body.Brief demonstration and analysis are given by taking elbow as an example.