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 …
A comprehensive review on deep learning-based methods for video anomaly detection
Video surveillance systems are popular and used in public places such as market places,
shop** malls, hospitals, banks, streets, education institutions, city administrative offices …
shop** malls, hospitals, banks, streets, education institutions, city administrative offices …
A survey on trajectory-prediction methods for autonomous driving
In order to drive safely in a dynamic environment, autonomous vehicles should be able to
predict the future states of traffic participants nearby, especially surrounding vehicles, similar …
predict the future states of traffic participants nearby, especially surrounding vehicles, similar …
A survey on wearable sensor modality centred human activity recognition in health care
Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …
population structure. Aging-caused changes, such as physical or cognitive decline, could …
A survey on deep learning-based real-time crowd anomaly detection for secure distributed video surveillance
K Rezaee, SM Rezakhani, MR Khosravi… - Personal and Ubiquitous …, 2024 - Springer
Fast and automated recognizing of abnormal behaviors in crowded scenes is significantly
effective in increasing public security. The traditional procedure of recognizing abnormalities …
effective in increasing public security. The traditional procedure of recognizing abnormalities …
Vtnfp: An image-based virtual try-on network with body and clothing feature preservation
R Yu, X Wang, X **e - Proceedings of the IEEE/CVF …, 2019 - openaccess.thecvf.com
Image-based virtual try-on systems with the goal of transferring a desired clothing item onto
the corresponding region of a person have made great strides recently, but challenges …
the corresponding region of a person have made great strides recently, but challenges …
A comprehensive review on vision-based violence detection in surveillance videos
Recent advancements in intelligent surveillance systems for video analysis have been a
topic of great interest in the research community due to the vast number of applications to …
topic of great interest in the research community due to the vast number of applications to …
Deep learning-based anomaly detection in video surveillance: A survey
Anomaly detection in video surveillance is a highly developed subject that is attracting
increased attention from the research community. There is great demand for intelligent …
increased attention from the research community. There is great demand for intelligent …
A review of state-of-the-art techniques for abnormal human activity recognition
C Dhiman, DK Vishwakarma - Engineering Applications of Artificial …, 2019 - Elsevier
The concept of intelligent visual identification of abnormal human activity has raised the
standards of surveillance systems, situation cognizance, homeland safety and smart …
standards of surveillance systems, situation cognizance, homeland safety and smart …
A vision-based system for traffic anomaly detection using deep learning and decision trees
A Aboah - Proceedings of the IEEE/CVF Conference on …, 2021 - openaccess.thecvf.com
Any intelligent traffic monitoring system must be able to detect anomalies such as traffic
accidents in real-time. In this paper, we propose a Decision-Tree enabled approach …
accidents in real-time. In this paper, we propose a Decision-Tree enabled approach …