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Volume 22
Issue 11
10.3390/s22114076
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Article

Detection and Classification of Artifact Distortions in Optical Motion Capture Sequences

by
Przemysław Skurowski
1,* and
Magdalena Pawlyta
2
1
Department of Graphics, Computer Vision and Digital Systems, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
2
Polish-Japanese Academy of Information Technology, Koszykowa 86, 02-008 Warsaw, Poland
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(11), 4076; https://doi.org/10.3390/s22114076
Submission received: 15 March 2022 / Revised: 9 May 2022 / Accepted: 18 May 2022 / Published: 27 May 2022
(This article belongs to the Special Issue Intelligent Sensors for Human Motion Analysis)
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Abstract

Optical motion capture systems are prone to errors connected to marker recognition (e.g., occlusion, leaving the scene, or mislabeling). These errors are then corrected in the software, but the process is not perfect, resulting in artifact distortions. In this article, we examine four existing types of artifacts and propose a method for detection and classification of the distortions. The algorithm is based on the derivative analysis, low-pass filtering, mathematical morphology, and loose predictor. The tests involved multiple simulations using synthetically-distorted sequences, performance comparisons to human operators (concerning real life data), and an applicability analysis for the distortion removal.
Keywords: motion capture; artifact classification; artifact detection; reconstruction; anomaly detection motion capture; artifact classification; artifact detection; reconstruction; anomaly detection

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MDPI and ACS Style

Skurowski, P.; Pawlyta, M. Detection and Classification of Artifact Distortions in Optical Motion Capture Sequences. Sensors 2022, 22, 4076. https://doi.org/10.3390/s22114076

AMA Style

Skurowski P, Pawlyta M. Detection and Classification of Artifact Distortions in Optical Motion Capture Sequences. Sensors. 2022; 22(11):4076. https://doi.org/10.3390/s22114076

Chicago/Turabian Style

Skurowski, Przemysław, and Magdalena Pawlyta. 2022. "Detection and Classification of Artifact Distortions in Optical Motion Capture Sequences" Sensors 22, no. 11: 4076. https://doi.org/10.3390/s22114076

APA Style

Skurowski, P., & Pawlyta, M. (2022). Detection and Classification of Artifact Distortions in Optical Motion Capture Sequences. Sensors, 22(11), 4076. https://doi.org/10.3390/s22114076

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