Motion Tracking of Intelligent Surveillance based on Machine Vision and Infrared Spectroscopy

DOI

10.2991/wartia-17.2017.75How to use a DOI?

Keywords

Machine Vision; Infrared Spectroscopy; Intelligence Surveillance; Robot; Positioning Error; Kinematics Model

Abstract

Circumferential point method has been adopted in this paper for calibration. Binocular vision dynamic tracking technique is used to track the independent motion axis of each joint of the robot, and then construct and fit the axis of joint to attain kinematic model parameters. This method does not need previous complicated steps of numerous robot kinematics models iterating solution equation; for the independent-developed robot control system, the linkage model parameters attained from above method can offer feedback to the robot timely, execute parameter amendment and compensation, and then improve the positioning accuracy of robot. This method is with advantages of generality, momentarily and easy operation etc. Experiment has shown that through parameter feedback compensation, the positioning error of the independent-developed robot has been decreased significantly. This method is easy to realize, which provides reliable evidence for robot accuracy research.

Copyright

© 2017, 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  - Xiaohua Zhang
AU  - Bo Huang
PY  - 2017/11
DA  - 2017/11
TI  - Motion Tracking of Intelligent Surveillance based on Machine Vision and Infrared Spectroscopy
BT  - Proceedings of the 3rd Workshop on Advanced Research and Technology in Industry (WARTIA 2017)
PB  - Atlantis Press
SP  - 397
EP  - 402
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-17.2017.75
DO  - 10.2991/wartia-17.2017.75
ID  - Zhang2017/11
ER  -