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 …
[HTML][HTML] Object detection in real-time video surveillance using attention based transformer-YOLOv8 model
Object detection plays a crucial role in various applications, including surveillance,
autonomous driving, and industrial automation, where accurate and timely identification of …
autonomous driving, and industrial automation, where accurate and timely identification of …
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 …
Geo‐spatial traffic behaviour analysis and anomaly detection for ITS applications
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 …
Scalable Large Model for Unlabeled Anomaly Detection With Trio-Attention U-Transformer and Manifold-Learning Siamese Discriminator
To identify pattern deviations in large-scale industrial infrastructures, anomaly detection is
crucial yet challenging. Previous research has not adequately addressed the characteristics …
crucial yet challenging. Previous research has not adequately addressed the characteristics …