An Approach for Detecting Human Posture by Using Depth Image
Xianshan Li, Maoyuan Sun, Xiuxiu Fang · 2016
This paper introduces a method that can detect human posture by using depth image.The method uses head model to locate the human position which includes edge extraction, template matching and human detection.Then we extract the HOG feature from the depth images to get the characteristic vector of the original image.At last, a generalized regression neural network is processed to classify and identify the human posture.Experiments show that our method is able to identify the human posture from a depth image with a satisfactory recognition rate.