[1]Zhang Qingjian,Han Jianping.A method of Positioning the Human Body Joints Based on RGB and Depth Information[J].Journal of Zhengzhou University (Engineering Science),2018,39(05):33-38.[doi:10.13705/j.issn.1671-6833.2018.05.007]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
39卷
Number of periods:
2018 05
Page number:
33-38
Column:
Public date:
2018-08-21
- Title:
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A method of Positioning the Human Body Joints Based on RGB and Depth Information
- Author(s):
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Zhang Qingjian; Han Jianping
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School of Computer Science, Hangzhou Dianzi University, Hangzhou, Zhejiang 310016
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- Keywords:
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RGB-D; kinect; image refinement; corner detection; face tracking; joint point positioning
- CLC:
-
-
- DOI:
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10.13705/j.issn.1671-6833.2018.05.007
- Abstract:
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In this paper, a method of positioning the human joints based on RGB-D was proposed. The human body skeleton line was obtained by the deep image filtering, dilating and thinning processing of the kinect acquisition,the end and turning points of the human skeleton line were obtained according to the corner detection algorithm. Then tracked and positioning the human’s face in the color image; at last the 15 joints of human body were positioned combining with the proportion of the rigid parts of the human body. The results showed that the accuracy of positioning joints of this method was improved by 7% compared with the method of positioning the joints directly according to the proportion of the rigid parts of the human body, and the accuracy of positioning the joint of head is improved by 42%