Understanding policy and technical aspects of ai-enabled smart video surveillance to address public safety
Recent advancements in artificial intelligence (AI) have seen the emergence of smart video
surveillance (SVS) in many practical applications, particularly for building safer and more …
surveillance (SVS) in many practical applications, particularly for building safer and more …
Detecting video anomalies by jointly utilizing appearance and skeleton information
A Video anomaly detection detects abnormal content that does not appear in the training set,
and unsupervised methods such as generative methods are applied because the training …
and unsupervised methods such as generative methods are applied because the training …
Survey on video anomaly detection in dynamic scenes with moving cameras
The increasing popularity of compact and inexpensive cameras, eg dash cameras, body
cameras, and cameras equipped on robots, has sparked a growing interest in detecting …
cameras, and cameras equipped on robots, has sparked a growing interest in detecting …
An exploratory study on human-centric video anomaly detection through variational autoencoders and trajectory prediction
Abstract Video Anomaly Detection (VAD) represents a challenging and prominent research
task within computer vision. In recent years, Pose-based Video Anomaly Detection (PAD) …
task within computer vision. In recent years, Pose-based Video Anomaly Detection (PAD) …
Evaluating the Effectiveness of Video Anomaly Detection in the Wild: Online Learning and Inference for Real-world Deployment
Abstract Video Anomaly Detection (VAD) identifies unusual activities in video streams a key
technology with broad applications ranging from surveillance to healthcare. Tackling VAD in …
technology with broad applications ranging from surveillance to healthcare. Tackling VAD in …
Exploring Public's Perception of Safety and Video Surveillance Technology: A Survey Approach
Addressing public safety effectively requires incorporating diverse stakeholder perspectives,
particularly those of the community, which are often underrepresented compared to other …
particularly those of the community, which are often underrepresented compared to other …
Deep Reinforcement Learning-Empowered Cost-Effective Federated Video Surveillance Management Framework
Video surveillance systems are integral to bolstering safety and security across multiple
settings. With the advent of deep learning (DL), a specialization within machine learning …
settings. With the advent of deep learning (DL), a specialization within machine learning …
VT-Former: A Transformer-based Vehicle Trajectory Prediction Approach For Intelligent Highway Transportation Systems
Enhancing roadway safety and traffic management has become an essential focus area for
a broad range of modern cyber-physical systems and intelligent transportation systems …
a broad range of modern cyber-physical systems and intelligent transportation systems …
Enhancing Situational Awareness in Surveillance: Leveraging Data Visualization Techniques for Machine Learning-based Video Analytics Outcomes
The pervasive deployment of surveillance cameras produces a massive volume of data,
requiring nuanced interpretation. This study thoroughly examines data representation and …
requiring nuanced interpretation. This study thoroughly examines data representation and …
GAT-POSE: Graph Autoencoder-Transformer Fusion for Future Pose Prediction
Human pose prediction, interchangeably known as human pose forecasting, is a daunting
endeavor within computer vision. Owing to its pivotal role in many advanced applications …
endeavor within computer vision. Owing to its pivotal role in many advanced applications …