Human action performance using deep neuro-fuzzy recurrent attention model
A great number of computer vision publications have focused on distinguishing between
human action recognition and classification rather than the intensity of actions performed …
human action recognition and classification rather than the intensity of actions performed …
Moving foreground-aware visual attention and key volume mining for human action recognition
J Zhang, H Hu, X Lu - ACM Transactions on Multimedia Computing …, 2019 - dl.acm.org
Recently, many deep learning approaches have shown remarkable progress on human
action recognition. However, it remains unclear how to extract the useful information in …
action recognition. However, it remains unclear how to extract the useful information in …
Transfer Learning Models for CNN Fusion with Fisher Vector for Codebook Optimization of Foreground Features
Human action recognition has become one of the main topics in the computer vision field
due to its high demand and competitiveness in real-world applications. The main goals of …
due to its high demand and competitiveness in real-world applications. The main goals of …
[HTML][HTML] Human activity recognition using cascaded dual attention cnn and bi-directional gru framework
Vision-based human activity recognition (HAR) has emerged as one of the essential
research areas in video analytics. Over the last decade, numerous advanced deep learning …
research areas in video analytics. Over the last decade, numerous advanced deep learning …
Human action recognition using deep learning methods on limited sensory data
In recent years, due to the widespread usage of various sensors action recognition is
becoming more popular in many fields such as person surveillance, human-robot interaction …
becoming more popular in many fields such as person surveillance, human-robot interaction …
Spatio-temporal features based human action recognition using convolutional long short-term deep neural network
AFMS Saif, ED Wollega… - International Journal of …, 2023 - search.proquest.com
Recognition of human intention is crucial and challenging due to subtle motion patterns of a
series of action evolutions. Understanding of human actions is the foundation of many …
series of action evolutions. Understanding of human actions is the foundation of many …
Hierarchical attention network for action recognition in videos
Understanding human actions in wild videos is an important task with a broad range of
applications. In this paper we propose a novel approach named Hierarchical Attention …
applications. In this paper we propose a novel approach named Hierarchical Attention …
A hybrid approach for human activity recognition with support vector machine and 1D convolutional neural network
The Human Activity Recognition (HAR) is a pattern recognition task that learns to identify
human physical activities recorded by different sensor modalities. The application areas …
human physical activities recorded by different sensor modalities. The application areas …
Human action recognition based on a sequential deep learning model
Human Action Recognition (HAR) is an application-oriented field that utilizes numerous
Machine Learning methods to identify diverse human actions or movements to provide an …
Machine Learning methods to identify diverse human actions or movements to provide an …
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 …