Depth sensors-based action recognition using a modified K-ary entropy classifier
Surveillance system is acquiring an ample interest in the field of computer vision. Existing
surveillance system usually relies on optical or wearable sensors for indoor and outdoor …
surveillance system usually relies on optical or wearable sensors for indoor and outdoor …
[HTML][HTML] Sign language recognition from digital videos using feature pyramid network with detection transformer
Sign language recognition is one of the fundamental ways to assist deaf people to
communicate with others. An accurate vision-based sign language recognition system using …
communicate with others. An accurate vision-based sign language recognition system using …
[图书][B] Computational methods for deep learning: theory, algorithms, and implementations
WQ Yan - 2023 - books.google.com
The first edition of this textbook was published in 2021. Over the past two years, we have
invested in enhancing all aspects of deep learning methods to ensure the book is …
invested in enhancing all aspects of deep learning methods to ensure the book is …
[HTML][HTML] Pose estimation for swimmers in video surveillance
X Cao, WQ Yan - Multimedia Tools and Applications, 2024 - Springer
Traditional models for pose estimation in video surveillance are based on graph structures,
in this paper, we propose a method that breaks the limitation of template matching within a …
in this paper, we propose a method that breaks the limitation of template matching within a …
Human action recognition from digital videos based on deep learning
With the development of closed-circuit television, video-based human motion recognition
has made great progress. A large number of surveillance video footages have been …
has made great progress. A large number of surveillance video footages have been …
Deep learning methods for human behavior recognition
In this paper, we investigate the problem of human behavior recognition by using the state-of-
the-art deep learning methods. In order to achieve sufficient recognition accuracy, both …
the-art deep learning methods. In order to achieve sufficient recognition accuracy, both …
Ski fall detection from digital images using deep learning
Y Zhu, WQ Yan - Proceedings of the 5th International Conference on …, 2022 - dl.acm.org
In this paper, we explore how to take advantage of computer vision to assist ski resorts and
monitor the safety of skiers on the tracks. In order to quickly detect any falls or injures, and …
monitor the safety of skiers on the tracks. In order to quickly detect any falls or injures, and …
An automated human action recognition and classification framework using deep learning
Human activity recognition has captivated the interest of researchers due to its significant
applications such as smart home health care systems in which this technology can be …
applications such as smart home health care systems in which this technology can be …
A proposal model using deep learning model integrated with knowledge graph for monitoring human behavior in forest protection
In conventional monitoring of human behavior in forest protection, deep learning
approaches can be detected human behavior significantly since thousands of visitors' forest …
approaches can be detected human behavior significantly since thousands of visitors' forest …
Deep learning methods for human action recognition
Z Yu - 2021 - openrepository.aut.ac.nz
Human action recognition from digital videos is a hot topic in the field of computer vision. It
has a pretty assortment of applications in a myriad of fields such as video surveillance …
has a pretty assortment of applications in a myriad of fields such as video surveillance …