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High-speed vision extraction based on the CamShift algorithm

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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.

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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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Authors and Affiliations

  1. College of Mechanical Engineering, University of Science and Technology of Anhui, Fengyang, 233100, China

    ChunYu Zhang & Rui Bin Gou

  2. College of Mechanical Engineering, Anhui University of Technology, Maanshan, 243000, China

    Lei Chen

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  1. ChunYu Zhang
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  2. Lei Chen
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  3. Rui Bin Gou
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Correspondence to Rui Bin Gou.

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Zhang, C., Chen, L. & Gou, R.B. High-speed vision extraction based on the CamShift algorithm. Cluster Comput 22 (Suppl 1), 555–564 (2019). https://doi.org/10.1007/s10586-017-1301-x

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  • DOI: https://doi.org/10.1007/s10586-017-1301-x

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