A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection
In this article, we implement an action recognition technique based on features fusion and
best feature selection. In the proposed method, HSI color transformation is performed in the …
best feature selection. In the proposed method, HSI color transformation is performed in the …
Overview of lifelogging: current challenges and advances
Lifelogging is the process of digital tracking of person's daily experiences for a variety of
purposes. In recent years, lifelogging has become an increasingly popular area of research …
purposes. In recent years, lifelogging has become an increasingly popular area of research …
An implementation of optimized framework for action classification using multilayers neural network on selected fused features
In video sequences, human action recognition is a challenging problem due to motion
variation, in frame person difference, and setting of video recording in the field of computer …
variation, in frame person difference, and setting of video recording in the field of computer …
Enhancing human action recognition in videos through dense-level features extraction and optimized long short-term memory
Human action recognition (HAR) in videos is a field currently receiving considerable
attention in computer vision and pattern recognition. While numerous researchers have …
attention in computer vision and pattern recognition. While numerous researchers have …
Improved strategy for human action recognition; experiencing a cascaded design
Human motion analysis has received a lot of attention in the computer vision community
during the last few years. This research domain is supported by a wide spectrum of …
during the last few years. This research domain is supported by a wide spectrum of …
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 …
An efficient human activity recognition technique based on deep learning
In this paper, we present a new deep learning-based human activity recognition technique.
First, we track and extract human body from each frame of the video stream. Next, we …
First, we track and extract human body from each frame of the video stream. Next, we …
A novel hybrid deep learning model for human activity recognition based on transitional activities
In recent years, a plethora of algorithms have been devised for efficient human activity
recognition. Most of these algorithms consider basic human activities and neglect postural …
recognition. Most of these algorithms consider basic human activities and neglect postural …
The significance of IoT and deep learning in activity recognition
Presently, Activity recognition (AR) performs a vital role in engineering, home, health care,
universities, and many more other areas. The main role of activity recognition is to recognize …
universities, and many more other areas. The main role of activity recognition is to recognize …
Human action recognition based on vision transformer and L2 regularization
Q Chen, H Tang, J Cai - Proceedings of the 2022 11th international …, 2022 - dl.acm.org
In recent years, the field of human action recognition has been the focus of computer vision,
and human action recognition has a good prospect in many fields, such as security state …
and human action recognition has a good prospect in many fields, such as security state …