A deep learning method for video‐based action recognition

Abstract In this paper, a deep learning method for video‐based action recognition is proposed. On the one hand, boundary compensation on the basis of a deep neural network is performed to achieve action proposal. Boundary compensation considering non‐maximum suppression according to sliding window p...

Full description

Bibliographic Details

Published in:	IET Image Processing
Main Authors:	Guanwen Zhang, Yukun Rao, Changhao Wang, Wei Zhou, Xiangyang Ji
Format:	Article
Language:	English
Published:	Wiley 2021-12-01
Subjects:	Optical, image and video signal processing Image recognition Computer vision and image processing techniques Video signal processing
Online Access:	https://doi.org/10.1049/ipr2.12303