AI RESEARCH
Map-Mono-Ego: Map-Grounded Global Human Pose Estimation from Monocular Egocentric Video
arXiv CS.CV
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ArXi:2605.20889v1 Announce Type: new Monocular egocentric human pose estimation is essential for ubiquitous activity monitoring. However, understanding the user's absolute location within the environment remains a challenge. Existing methods primarily focus on relative motion from an initial position, and tend not to account for the wearer's absolute location within an environment. Furthermore, inherent scale ambiguity in monocular vision leads to severe translational drift, limiting long-term tracking without specialized multi-sensor hardware.