Human Action Recognition Based on a Two-stream Convolutional Network Classifier

Currently, video generation devices are simpler to manipulate, more portable and with lower prices. This allowed easy storage and transmission of large amounts of media, such as videos, which has facilitated the analysis of information, independent of human assistance for evaluation and exhaustive s...

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Bibliographic Details

Published in:	2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA) pp. 774 - 778
Main Authors:	de Oliveira Silva, Vinicius, de Barros Vidal, Flavio, Soares Romariz, Alexandre Ricardo
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-12-2017
Subjects:	Convolutional Neural networks Dense Optical Flow Histograms Human action recognition Image recognition Kernel Streaming media Training Transfer Learning
Online Access:	Get full text
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