Anomaly detection in surveillance videos using deep autoencoder
Video anomaly detection algorithms are yet to advance at the pace CCTV footage data of
public places is being recorded and made publicly available. An anomaly specifies unusual …
public places is being recorded and made publicly available. An anomaly specifies unusual …
Three-stage deep learning framework for video surveillance
The escalating use of security cameras has resulted in a surge in images requiring analysis,
a task hindered by the inefficiency and error-prone nature of manual monitoring. In …
a task hindered by the inefficiency and error-prone nature of manual monitoring. In …
Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions
Crowd anomaly detection is one of the most popular topics in computer vision in the context
of smart cities. A plethora of deep learning methods have been proposed that generally …
of smart cities. A plethora of deep learning methods have been proposed that generally …
Transformer-based Spatio-Temporal Unsupervised Traffic Anomaly Detection in Aerial Videos
Anomaly detection is an area of video analysis and plays an increasing role in ensuring
safety, preventing risks, and guaranteeing quick response in intelligent surveillance …
safety, preventing risks, and guaranteeing quick response in intelligent surveillance …
SwinAnomaly: Real-Time Video Anomaly Detection Using Video Swin Transformer and SORT
Detecting anomalous events in videos is a challenging task due to their infrequent and
unpredictable nature in real-world scenarios. In this paper, we propose SwinAnomaly, a …
unpredictable nature in real-world scenarios. In this paper, we propose SwinAnomaly, a …
Research and application of Transformer based anomaly detection model: A literature review
M Ma, L Han, C Zhou - arXiv preprint arXiv:2402.08975, 2024 - arxiv.org
Transformer, as one of the most advanced neural network models in Natural Language
Processing (NLP), exhibits diverse applications in the field of anomaly detection. To inspire …
Processing (NLP), exhibits diverse applications in the field of anomaly detection. To inspire …
Detection and localization of anomalies in video surveillance using novel optimization based deep convolutional neural network
BS Gayal, SR Patil - Multimedia Tools and Applications, 2023 - Springer
Nowadays, the demand for the surveillance applications is increased in order to guarantee
the safety and security of the people/society. Due to the rapid growth in surveillance, human …
the safety and security of the people/society. Due to the rapid growth in surveillance, human …
Surveillance detection of anomalous activities with optimized deep learning technique in crowded scenes
The performance of conventional surveillance systems is challenged by high error detection
rates in busy scenes, which has significantly affected the accurate detection of the current …
rates in busy scenes, which has significantly affected the accurate detection of the current …
Geo‐spatial traffic behaviour analysis and anomaly detection for ITS applications
E Akdag, G D'Amicantonio, J Vijverberg… - IET Intelligent …, 2024 - Wiley Online Library
Understanding the behaviour of traffic participants within the geo‐spatial context of
road/intersection topology is a vital prerequisite for any smart ITS application. This article …
road/intersection topology is a vital prerequisite for any smart ITS application. This article …
TFAE: temporal feature adjustable enhancement for video anomaly detection
J Liang, Y Wu, W Zeng, Y Zeng - Multimedia Tools and Applications, 2024 - Springer
The objective of video anomaly detection is to detect events in video streams that depart
from typical behavior or have potential threats. In this paper, we consider video anomaly …
from typical behavior or have potential threats. In this paper, we consider video anomaly …