A Discriminative Deep Model With Feature Fusion and Temporal Attention for Human Action Recognition

A Discriminative Deep Model With Feature Fusion and Temporal Attention for Human Action Recognition

Activity recognition which aims to accurately distinguish human actions in complex environments plays a key role in human-robot/computer interaction. However, long-lasting and similar actions will cause poor feature sequence extraction and thus lead to a reduction of the recognition accuracy. We pro...

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Bibliographic Details
Main Authors: Jiahui Yu, Hongwei Gao, Wei Yang, Yueqiu Jiang, Weihong Chin, Naoyuki Kubota, Zhaojie Ju
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Human action recognition
RGB-D
attention mode
real-time feature fusion
dataset
Online Access:https://ieeexplore.ieee.org/document/9020148/

Internet

https://ieeexplore.ieee.org/document/9020148/

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