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Cluster Computing

, Volume 22, Supplement 1, pp 555–564 | Cite as

High-speed vision extraction based on the CamShift algorithm

  • ChunYu Zhang
  • Lei Chen
  • Rui Bin GouEmail author
Article
  • 176 Downloads

Abstract

This study investigates the use of the continuously adaptive mean shift (CamShift) algorithm in high-speed vision extraction. Videos of a high-speed target are captured with a high-speed camera. The displacement of the target is extracted from the videos using the CamShift algorithm. The CamShift algorithm is then compared with the normalized cross correlation algorithm and other algorithms in terms of accuracy and rapidity. Simulation and test results indicate that the CamShift algorithm is better than other algorithms in terms of the displacement extraction of high-frequency vibration. The CamShift algorithm also offers numerous advantages, including real time, high efficiency, high accuracy, and robustness.

Keywords

CamShift algorithm Displacement extraction High-speed vision NCC algorithm Color histogram 

Notes

Acknowledgements

This work was supported by Key Technologies R&D Program of Anhui Province (1604a0902134) and Natural Science Foundation in Higher Education of Anhui China (KJ2016A183).

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.College of Mechanical EngineeringUniversity of Science and Technology of AnhuiFengyangChina
  2. 2.College of Mechanical EngineeringAnhui University of TechnologyMaanshanChina

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