Temporal Modeling on Multi-Temporal-Scale Spatiotemporal Atoms for Action Recognition

As an important branch of video analysis, human action recognition has attracted extensive research attention in computer vision and artificial intelligence communities. In this paper, we propose to model the temporal evolution of multi-temporal-scale atoms for action recognition. An action can be c...

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Vydané v:	Applied sciences Ročník 8; číslo 10; s. 1835
Hlavní autori:	Yao, Guangle, Lei, Tao, Liu, Xianyuan, Jiang, Ping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.10.2018
Predmet:	action atom action recognition Classification convolutional neural network International conferences long short-term memory Methods Neural networks Pattern recognition Semantics United States > US Las Vegas Nevada China
ISSN:	2076-3417, 2076-3417
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