A survey on video-based human action recognition: recent updates, datasets, challenges, and applications
Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …
Human action recognition using attention based LSTM network with dilated CNN features
Human action recognition in videos is an active area of research in computer vision and
pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for …
pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for …
Carbon emissions of 5G mobile networks in China
Telecommunication using 5G plays a vital role in our daily lives and the global economy.
However, the energy consumption and carbon emissions of 5G mobile networks are …
However, the energy consumption and carbon emissions of 5G mobile networks are …
Motion capture data denoising based on LSTNet autoencoder
YQ Zhu, YM Cai, F Zhang - Journal of Internet Technology, 2022 - jit.ndhu.edu.tw
This paper proposes a novel deep learning-based optical motion capture denoising model
encoder-LSTNet-decoder (ELD). ELD uses an autoencoder for manifold learning and …
encoder-LSTNet-decoder (ELD). ELD uses an autoencoder for manifold learning and …
Applying data mining techniques to explore user behaviors and watching video patterns in converged IT environments
YS Su, SY Wu - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Comfortable leisure and entertainment is expected through multimedia. Web multimedia
systems provide diversified multimedia interactions, for example, sharing knowledge …
systems provide diversified multimedia interactions, for example, sharing knowledge …
Attention-based bidirectional-long short-term memory for abnormal human activity detection
Abnormal human behavior must be monitored and controlled in today's technology-driven
era, since it may cause damage to society in the form of assault or web-based violence, such …
era, since it may cause damage to society in the form of assault or web-based violence, such …
An IoT-platform-based deep learning system for human behavior recognition in smart city monitoring using the Berkeley MHAD datasets
Internet of Things (IoT) technology has been rapidly developing and has been well utilized
in the field of smart city monitoring. The IoT offers new opportunities for cities to use data …
in the field of smart city monitoring. The IoT offers new opportunities for cities to use data …
Predicting behavioral competencies automatically from facial expressions in real-time video-recorded interviews
This work aims to develop a real-time image and video processor enabled with an artificial
intelligence (AI) agent that can predict a job candidate's behavioral competencies according …
intelligence (AI) agent that can predict a job candidate's behavioral competencies according …
A low-latency object detection algorithm for the edge devices of IoV systems
The emergence of edge computing (EC) and intelligent vision-based driver assistance
system is of great significance for the prospective development of Internet of Vehicle (IoV) …
system is of great significance for the prospective development of Internet of Vehicle (IoV) …
Compressing deep model with pruning and tucker decomposition for smart embedded systems
Deep learning has been proved to be one of the most effective method in feature encoding
for different intelligent applications such as video-based human action recognition …
for different intelligent applications such as video-based human action recognition …