In the domain of human action recognition, existing works mainly focus on using RGB, depth, skeleton and infrared data for analysis. While these methods have the benefit of …
Automated human action recognition plays a critical role in the development of human- machine communication, by aiming for a more natural interaction between artificial …
CB Jin, TD Do, M Liu, H Kim - Intelligent Video Surveillance, 2018 - books.google.com
This work presents a novel approach to the problem of real-time human action recognition in intelligent video surveillance. For more efficient and precise labeling of an action, this work …
PK Singh, S Kundu, T Adhikary, R Sarkar… - … Methods in Engineering, 2021 - Springer
Abstract Human Action Recognition (HAR) has achieved a remarkable milestone in the field of computer vision. Apart from its varied applications in human–computer interactions …
Z Yu, WQ Yan - 2020 35th International Conference on Image …, 2020 - ieeexplore.ieee.org
The goal of human action recognition is to identify and understand the actions of people in videos and export corresponding tags. In addition to spatial correlation existing in 2D …
Advancements in deep neural networks have contributed to near-perfect results for many computer vision problems, such as object recognition, face recognition, and pose estimation …
Key-point trajectory based approaches to recognizing human actions in realistic videos have recently shown promising results. However, their coverage of the entire actor is not sufficient …
Much research on human action recognition has been oriented toward the performance gain on lab-collected datasets. Yet real-world videos are more diverse, with more complicated …