Human action recognition from various data modalities: A review
Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …
each action. It has a wide range of applications, and therefore has been attracting increasing …
Adventures in data analysis: A systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems
Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …
Motion saliency based multi-stream multiplier ResNets for action recognition
In this paper, we propose a Motion Saliency based multi-stream Multiplier ResNets (MSM-
ResNets) for action recognition. The proposed MSM-ResNets model consists of three …
ResNets) for action recognition. The proposed MSM-ResNets model consists of three …
Human activity recognition (har) using deep learning: Review, methodologies, progress and future research directions
P Kumar, S Chauhan, LK Awasthi - Archives of Computational Methods in …, 2024 - Springer
Human activity recognition is essential in many domains, including the medical and smart
home sectors. Using deep learning, we conduct a comprehensive survey of current state …
home sectors. Using deep learning, we conduct a comprehensive survey of current state …
Spatial and temporal saliency based four-stream network with multi-task learning for action recognition
Action recognition is a challenging video understanding task for the following two reasons:(i)
the complex video background impairs the recognition of desirable actions, and (ii) the …
the complex video background impairs the recognition of desirable actions, and (ii) the …
A comprehensive review of recent deep learning techniques for human activity recognition
VT Le, K Tran-Trung, VT Hoang - Computational Intelligence …, 2022 - Wiley Online Library
Human action recognition is an important field in computer vision that has attracted
remarkable attention from researchers. This survey aims to provide a comprehensive …
remarkable attention from researchers. This survey aims to provide a comprehensive …
An attention based dual learning approach for video captioning
Video captioning aims to generate sentences/captions to describe video contents. It is one of
the key tasks in the field of multimedia processing. However, most of the current video …
the key tasks in the field of multimedia processing. However, most of the current video …
[HTML][HTML] Multi-head attention-based two-stream EfficientNet for action recognition
Recent years have witnessed the popularity of using two-stream convolutional neural
networks for action recognition. However, existing two-stream convolutional neural network …
networks for action recognition. However, existing two-stream convolutional neural network …
[HTML][HTML] k-NN attention-based video vision transformer for action recognition
Action Recognition aims to understand human behavior and predict a label for each action.
Recently, Vision Transformer (ViT) has achieved remarkable performance on action …
Recently, Vision Transformer (ViT) has achieved remarkable performance on action …
Multi-cue based four-stream 3D ResNets for video-based action recognition
Action recognition is one of the important computer vision tasks, which has many
applications. This paper proposes a Multi-cue based Four-stream 3D ResNets (MF3D) …
applications. This paper proposes a Multi-cue based Four-stream 3D ResNets (MF3D) …