A survey on video-based human action recognition: recent updates, datasets, challenges, and applications

P Pareek, A Thakkar - Artificial Intelligence Review, 2021 - Springer
Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …

A comprehensive review on deep learning-based methods for video anomaly detection

R Nayak, UC Pati, SK Das - Image and Vision Computing, 2021 - Elsevier
Video surveillance systems are popular and used in public places such as market places,
shopping malls, hospitals, banks, streets, education institutions, city administrative offices …

A survey on trajectory-prediction methods for autonomous driving

Y Huang, J Du, Z Yang, Z Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

A survey on wearable sensor modality centred human activity recognition in health care

Y Wang, S Cang, H Yu - Expert Systems with Applications, 2019 - Elsevier
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 …

Vtnfp: An image-based virtual try-on network with body and clothing feature preservation

R Yu, X Wang, X Xie - 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 …

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 …

A comprehensive review on vision-based violence detection in surveillance videos

FUM Ullah, MS Obaidat, A Ullah, K Muhammad… - ACM Computing …, 2023 - dl.acm.org
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 …

Deep learning-based anomaly detection in video surveillance: A survey

HT Duong, VT Le, VT Hoang - Sensors, 2023 - mdpi.com
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 …

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 …

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 …