Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

This paper presents a high-quality human motion pre-diction method that accurately predicts future human poses given observed ones. Our method is based on the observation that a good "initial guess" of the future poses is very helpful in improving the forecasting accuracy. This mo-tivates...

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Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 6427 - 6436
Hauptverfasser:	Ma, Tiezheng, Nie, Yongwei, Long, Chengjiang, Zhang, Qing, Li, Guiqing
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2022
Schlagworte:	Convolutional codes Face recognition Feature extraction Motion and tracking; Face and gestures Performance gain Smoothing methods Spatiotemporal phenomena Tracking
ISSN:	1063-6919
Online-Zugang:	Volltext
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