High-speed vision extraction based on the CamShift algorithm

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 al...

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Bibliographic Details
Published in:Cluster computing 2019-01, Vol.22 (Suppl 1), p.555-564
Main Authors: Zhang, ChunYu, Chen, Lei, Gou, Rui Bin
Format: Article
Language:English
Subjects:
Algorithms
Cables
Computer Communication Networks
Computer Science
Cross correlation
High speed cameras
Histograms
Measurement techniques
Operating Systems
Partial differential equations
Probability distribution
Processor Architectures
Vibration
Video
Vision systems
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Summary: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.
ISSN:1386-7857
1573-7543
DOI:10.1007/s10586-017-1301-x