English(EN) MuyBridge: Mobile Human Center-of-Mass Estimation from Monocular Video via Sparse Fusion

新系统通过手机视频估算运动员的质心

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-03 04:00

研究人员开发了MuyBridge，一个新颖的设备端系统，能够从单个智能手机摄像头估算运动员的质心（CoM）轨迹。该系统融合了2D姿态网络和单目深度网络，利用解剖学和物理学先验知识来锚定度量质心，而无需3D或特定任务的监督。MuyBridge在运动动作上实现了低误差率，并以高帧率运行，使其适用于iPhone 15等设备上的实时分析。 AI

影响能够在移动设备上进行实时生物力学分析，可能有助于运动员和教练。

排序理由该集群包含一篇详细介绍一种新的人体姿态估计方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Aidan Bradshaw, Marco Giordano, David Rode, Andreas Habersack, Elif Basokur, Annika Kruse, Markus Tilp, Michele Magno, Peter Wolf, Luca Benini, Christoph Leitner · 2026-09-03 04:00

MuyBridge：通过稀疏融合从单目视频进行移动人体质心估计

arXiv:2609.02854v1 Announce Type: new Abstract: The 3D center of mass (CoM) is a primary quantity in the biomechanical analysis of sport, rehabilitation, and clinical movement, yet existing 3D pose tracking, mesh recovery, and multi-view triangulation methods either optimize 3D k…

本文如何被排名

报道来源 [1]

MuyBridge：通过稀疏融合从单目视频进行移动人体质心估计

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