Study on 2D Joint Points Calibration of Human Based on Euclidean Distance Transform

The calibration of joint points is the key problem in the solution of construction of human models and recognition of human actions.In this paper,a novel approach about the extraction of human 2D joint points based on Euclidean distance transform was proposed to locate joint points automatically in human image sequences with no manual intervention.Firstly,the method employs Euclidean distance transform to thin the object of human target in image sequences,then establishes the 2D human skeleton model with target area as a unit pixels wide,and conducts inquiries by getting the joint point using the eight values of neighboring pixels,so the real coordinates corresponding to the human 2D joint points can be extracted.Experimental results show that this approach is simple and available compared with existing techniques.The exact position coordinates are able to be captured from human body binary images with different states of motions,and with high precision and accuracy.