In predicting 3D positions of human skeleton joints,the errors of some joints may be large. This paper proposed a scheme to decrease the cost of training and add post-processing using multi-view depth images to improve the performance.First the algorithm generated small image sets which contained important and typical human poses,then trained the classifier using a small cluster in the laboratory and estimated the human skeleton joints. For the joints with low confidence,it added the post-processing algorit...
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