Human Pose Tracking from RGB Inputs

Barioni, Ricardo R.; Figueiredo, Lucas; Cunha, Kelvin B. da; Teichrieb, Verônica

doi:10.1109/svr.2018.00035

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…Human motion detection, such as human body modeling and tracking, is a widely researched topic [4,22,32]. Motion sensors are the primary means of acquiring the raw data.…”

Section: Full-body Motion Detectionmentioning

confidence: 99%

Human-Avatar Interaction in Metaverse

Lam

Yang

Alhilal

et al. 2022

Proceedings of the 4th ACM International Conference on Multimedia in Asia

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The metaverse is a network of shared virtual environments where people can interact synchronously through their avatars. To enable this, it is necessary to accurately capture and recreate (physical) human motion. This is used to render avatars correctly, reflecting the motion of their corresponding users. In large-scale environments this must be done in real-time. This paper proposes a human-avatar framework with full-body motion capture. Its goal is to deliver high-accuracy capture with low computational and network overheads. It relies on a lightweight Octree data structure to record and transmit motion to other users. We conduct a user study with 22 participants and perform a preliminary evaluation of its scalability. Our user study shows that Octree with Inverse Kinematic achieves the best trade-off, achieving low delay and high accuracy. Our proposed solution delivers the lowest delay, with an average of 67ms in an environment of 8 concurrent users. It attains a 55.7% improvement over the prior techniques. CCS CONCEPTS• Human-centered computing → Mixed / augmented reality; Web-based interaction.

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“…Human motion detection, such as human body modeling and tracking, is a widely researched topic [4,22,32]. Motion sensors are the primary means of acquiring the raw data.…”

Section: Full-body Motion Detectionmentioning

confidence: 99%