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: A taxonomy-based survey, updates, and opportunities
Human action recognition systems use data collected from a wide range of sensors to
accurately identify and interpret human actions. One of the most challenging issues for …
accurately identify and interpret human actions. One of the most challenging issues for …
Vision-based human activity recognition: a survey
Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …
human activities using acquired information from various types of sensors. Although several …
A deep learning approach for intrusion detection using recurrent neural networks
C Yin, Y Zhu, J Fei, X He - Ieee Access, 2017 - ieeexplore.ieee.org
Intrusion detection plays an important role in ensuring information security, and the key
technology is to accurately identify various attacks in the network. In this paper, we explore …
technology is to accurately identify various attacks in the network. In this paper, we explore …
A novel two-stage deep learning model for efficient network intrusion detection
The network intrusion detection system is an important tool for protecting computer networks
against threats and malicious attacks. Many techniques have recently been proposed; …
against threats and malicious attacks. Many techniques have recently been proposed; …
Action recognition based on joint trajectory maps using convolutional neural networks
Recently, Convolutional Neural Networks (ConvNets) have shown promising performances
in many computer vision tasks, especially image-based recognition. How to effectively use …
in many computer vision tasks, especially image-based recognition. How to effectively use …
A survey on evolutionary computation for computer vision and image analysis: Past, present, and future trends
Computer vision (CV) is a big and important field in artificial intelligence covering a wide
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …
Adaptive fusion and category-level dictionary learning model for multiview human action recognition
Human actions are often captured by multiple cameras (or sensors) to overcome the
significant variations in viewpoints, background clutter, object speed, and motion patterns in …
significant variations in viewpoints, background clutter, object speed, and motion patterns in …
Histogram of oriented gradient-based fusion of features for human action recognition in action video sequences
Human Action Recognition (HAR) is the classification of an action performed by a human.
The goal of this study was to recognize human actions in action video sequences. We …
The goal of this study was to recognize human actions in action video sequences. We …
Benchmarking a multimodal and multiview and interactive dataset for human action recognition
Human action recognition is an active research area in both computer vision and machine
learning communities. In the past decades, the machine learning problem has evolved from …
learning communities. In the past decades, the machine learning problem has evolved from …