The Research and Application of an Algorithm about Human Joint Points Tracking based on a Video

DOI

10.2991/lemcs-14.2014.171How to use a DOI?

Keywords

feature tracking; joint position location; motion capture;Image segmentation; Image analysis

Abstract

This paper presents an algorithm about human joint points tracking based on a video. The method requires locating manually the joints’ position of the first frame, and tracking automatically all the joints starting from the second frame. Firstly, segment human lower limb marking the feature points based on two frame difference and threshold method. Then tracking feature points by using block matching method. Finally, the information of each joint’ location and the corresponding angle can be obtained. In order to ensure the accuracy of tracking, the scope of tracing must be limited by using human lower limb segmented by image and length model of each joint. This method has high accuracy and speed. Comparing the manual position and the computer programming tracking, its accuracy can be as high as 96%, and the actual error is less than 0.4cm.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hanxing Xie
AU  - Sha Qin
AU  - Xiaoxiao Li
AU  - Weilin Li
PY  - 2014/05
DA  - 2014/05
TI  - The Research and Application of an Algorithm about Human Joint Points Tracking based on a Video
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 749
EP  - 753
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.171
DO  - 10.2991/lemcs-14.2014.171
ID  - Xie2014/05
ER  -