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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Vydané v:	IEEE transactions on circuits and systems for video technology Ročník 30; číslo 8; s. 2650 - 2662
Hlavní autori:	Huang, Jingjia, Li, Nannan, Li, Thomas, Liu, Shan, Li, Ge
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
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