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Reducing motion jitter in monocular motion capture data.

Adzhiev, V. and Hosken, C., 2026. Reducing motion jitter in monocular motion capture data. In: THE 25TH ACM SIGGRAPH / Eurographics SYMPOSIUM ON COMPUTER ANIMATION (SCA 2026), 8-10 July 2026, Barcelona, Spain.

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VA_SCA2026_Poster.pdf - Accepted Version

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Official URL: https://computeranimation.org/

Abstract

We present Adaptive Velocity-Confidence Smoothing, a novel variation of the One Euro Filter and Confidence Weighted Filtering, primarily used to reduce noise in monocular-based pose estimation. This advancement addresses well-known limitations of existing temporal smoothing methods and demonstrates our alternative. We have applied this technique to our web-based motion capture tool, Deadshot [Hos25].

Item Type:Conference or Workshop Item (Poster)
Additional Information:Co-created with NCCA (CATA L6) UG student
Uncontrolled Keywords:Computer Animation; Computer Vision; Motion Capture; Open Source
Group:Faculty of Media, Science and Technology
ID Code:42215
Deposited By: Symplectic RT2
Deposited On:10 Jul 2026 14:03
Last Modified:10 Jul 2026 14:03

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