Poster
TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos
Yufu Wang · Ziyun Wang · Lingjie Liu · Kostas Daniilidis
# 193
Abstract:
We propose TRAM, a two-stage method to reconstruct a human's global trajectory and motion from in-the-wild videos. TRAM robustifies SLAM to recover the camera motion in the presence of dynamic humans and uses the scene background to derive the motion scale. Using the recovered camera as a metric-scale reference frame, we introduce a video transformer model (VIMO) to regress the kinematic body motion of a human. By composing the two motions, we achieve accurate recovery of 3D humans in the world space, reducing global motion errors by 60% from prior work.
Live content is unavailable. Log in and register to view live content