Action Recognition Using Deep 3D CNNs with Sequential Feature Aggregation and Attention

Action recognition is an active research field that aims to recognize human actions and intentions from a series of observations of human behavior and the environment. Unlike image-based action recognition mainly using a two-dimensional (2D) convolutional neural network (CNN), one of the difficultie...

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Bibliographic Details
Main Authors: Fazliddin Anvarov, Dae Ha Kim, Byung Cheol Song
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/9/1/147