BEHAVE: Dataset and Method for Tracking Human Object Interactions

Modelling interactions between humans and objects in natural environments is central to many applications including gaming, virtual and mixed reality, as well as human behavior analysis and human-robot collaboration. This challenging operation scenario requires generalization to vast number of objec...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 15914 - 15925
Hlavní autori:	Bhatnagar, Bharat Lal, Xie, Xianghui, Petrov, Ilya A., Sminchisescu, Cristian, Theobalt, Christian, Pons-Moll, Gerard
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.01.2022
Predmet:	3D from multi-view and sensors; 3D from single images; Pose estimation and tracking; Vision + graphics Codes Mixed reality Neural networks Pose estimation Predictive models Solid modeling Three-dimensional displays
ISSN:	1063-6919
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