A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework
[article]
2022
arXiv
pre-print
Vision-based human activity recognition has emerged as one of the essential research areas in video analytics domain. Over the last decade, numerous advanced deep learning algorithms have been introduced to recognize complex human actions from video streams. These deep learning algorithms have shown impressive performance for the human activity recognition task. However, these newly introduced methods either exclusively focus on model performance or the effectiveness of these models in terms of
arXiv:2208.05034v1
fatcat:zxzb7rn32vajzkbwngu3ajztdq