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Titel:

Understanding Spatio-Temporal Relations in Human-Object Interaction using Pyramid Graph Convolutional Network

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Hao Xing, Darius Burschka
Abstract:
Human activities recognition is an important task for an intelligent robot, especially in the field of human-robot collaboration, it requires not only the label of sub-activities but also the temporal structure of the activity. In order to automatically recognize both the label and the temporal structure in videos of human-object interaction, we propose a novel Pyramid Graph Convolutional Network (PGCN), which employs a pyramidal encoder-decoder architecture consisting of an attention based grap...     »
Kongress- / Buchtitel:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Jahr:
2022
Seiten:
8
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