STRIDE: Single-video based Temporally Continuous Occlusion-Robust 3D Pose Estimation

The capability to accurately estimate 3D human poses is crucial for diverse fields such as action recognition, gait recognition, and virtual/augmented reality. However, a persistent and significant challenge within this field is the accurate prediction of human poses under conditions of severe occlu...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Lal, Rohit, Bachu, Saketh, Garg, Yash, Dutta, Arindam, Calvin-Khang Ta, Raychaudhuri, Dripta S, Hannah Dela Cruz, Asif, M Salman, Roy-Chowdhury, Amit K
Format:	Artikel
Sprache:	eng
Schlagworte:	Datasets Human motion Mathematical models Pose estimation Self-supervised learning Three dimensional models
Online-Zugang:	Volltext
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