Medical application of video-based intelligent action recognition
10.3969/j.issn.1005-202X.2024.01.001
- VernacularTitle:基于视频的动作智能识别在医学中的应用
- Author:
Xinrui HUANG
1
;
Hesong HUANG
;
Yuchuan HUANG
;
Meining CHEN
;
Xinyue FAN
;
Ming YI
Author Information
1. 北京大学基础医学院生物化学与生物物理学系,北京 100191
- Keywords:
action recognition;
computer vision;
feature representation;
machine learning;
deep learning;
review
- From:
Chinese Journal of Medical Physics
2024;41(1):1-7
- CountryChina
- Language:Chinese
-
Abstract:
Video-based intelligent action recognition remains challenging in the field of computer vision.The review analyzes the state-of-the-art methods of video-based intelligent action recognition,including machine learning methods with handcrafted features,deep learning methods with automatically extracted features,and multi-information fusion methods.In addition,the important medical applications and limitations of these technologies in the past decade are introduced,and the interdisciplinary views on the future application to improve human health are also shared.
