Spatial-Temporal Context-Aware Online Action Detection and Prediction

Spatial-temporal action detection in videos is a challenging problem that has attracted considerable attention in recent years. Most current approaches address action detection as an object detection problem, which utilizes successful object detection frameworks such as Faster R-CNN to operate actio...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 30; H. 8; S. 2650 - 2662
Hauptverfasser:	Huang, Jingjia, Li, Nannan, Li, Thomas, Liu, Shan, Li, Ge
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Coders Computational modeling Context Context modeling Electron tubes encoder–decoder model Object detection Object recognition online action tube generation Performance evaluation Predictive models Proposals Recurrent neural networks Spatial–temporal action detection Tubes Videos
ISSN:	1051-8215, 1558-2205
Online-Zugang:	Volltext
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