An intelligent video analytics model for abnormal event detection in online surveillance video

A Balasundaram, C Chellappan - Journal of Real-Time Image Processing, 2020 - Springer
One of the primary tools for monitoring human movement and to prevent unwanted or
unintended activities is surveillance camera. Nowadays, security management professional …

Online video anomaly detection

Y Zhang, J Song, Y Jiang, H Li - Sensors, 2023 - mdpi.com
With the popularity of video surveillance technology, people are paying more and more
attention to how to detect abnormal states or events in videos in time. Therefore, real-time …

Online video-based abnormal detection using highly motion techniques and statistical measures

A Al-Dhamari, R Sudirman… - TELKOMNIKA …, 2019 - telkomnika.uad.ac.id
At the essence of video surveillance, there are abnormal detection approaches, which have
been proven to be substantially effective in detecting abnormal incidents without prior …

Video anomaly detection with compact feature sets for online performance

R Leyva, V Sanchez, CT Li - IEEE Transactions on Image …, 2017 - ieeexplore.ieee.org
Over the past decade, video anomaly detection has been explored with remarkable results.
However, research on methodologies suitable for online performance is still very limited. In …

Deep learning-based methods for anomaly detection in video surveillance: a review

A Berroukham, K Housni, M Lahraichi… - Bulletin of Electrical …, 2023 - beei.org
Detecting anomalous events in videos is one of the most popular computer vision topics. It is
considered a challenging task in video analysis due to its definition, which is subjective or …

[PDF][PDF] Improved anomaly detection in surveillance videos with multiple probabilistic models inference

Z Xu, X Zeng, G Ji, B Sheng - Intelligent Automation and Soft …, 2022 - cdn.techscience.cn
Anomaly detection in surveillance videos is an extremely challenging task due to the
ambiguous definitions for abnormality. In a complex surveillance scenario, the kinds of …

Fast anomaly detection in video surveillance system using robust spatiotemporal and deep learning methods

VA Kotkar, V Sucharita - Multimedia Tools and Applications, 2023 - Springer
Since from emergence of deep learning techniques, automatic video surveillance has
received researchers' attention. Such deep learning-based methods improve the accuracy …

Deep learning with a spatiotemporal descriptor of appearance and motion estimation for video anomaly detection

KG Gunale, P Mukherji - Journal of Imaging, 2018 - mdpi.com
The automatic detection and recognition of anomalous events in crowded and complex
scenes on video are the research objectives of this paper. The main challenge in this system …

Abnormal event detection in videos using binary features

R Leyva, V Sanchez, CT Li - 2017 40th International …, 2017 - ieeexplore.ieee.org
In this paper we address the problem of online video abnormal event detection. A vast
number of methods to automatically detect abnormal events in videos have been recently …

Real-time human detection for intelligent video surveillance: an empirical research and in-depth review of its applications

J Usha Rani, P Raviraj - SN Computer Science, 2023 - Springer
A more efficient technique to guarantee safety and security in a variety of settings is through
video surveillance, also known as closed circuit television (CCTV). It is frequently employed …