Human Action Recognition Based on Skeleton Joints Tracking
X Chen · Journal of Henan University of Science & Technology · 2015
It is difficult to get the complete skeleton model by motion detection and segmentation method based on color image which can only get skeleton joints with 2-dimensional information. Kinect sensor can build 3-dimensional human skeleton joints model based on the depth image to improve the accuracy of skeleton joints model. In this paper,skeleton joints location information was obtained by the skeleton tracking module of Kinect. A method of coordinate transformation was put forward to get 3-dimensional coordinate representation of human body skeleton joints. Then vector quantization was performed by using k-means clustering method to represent each action as a symbol sequence. Finally,action recognition was achieved by using trained discrete hidden Markov models. Through the experiment of self-built data sets,the results can achieve 94% recognition rate.