Ancilia: Scalable intelligent video surveillance for the artificial intelligence of things
With the advancement of vision-based artificial intelligence, the proliferation of the Internet of
Things connected cameras, and the increasing societal need for rapid and equitable …
Things connected cameras, and the increasing societal need for rapid and equitable …
Emergence and causality in complex systems: A survey of causal emergence and related quantitative studies
Emergence and causality are two fundamental concepts for understanding complex
systems. They are interconnected. On one hand, emergence refers to the phenomenon …
systems. They are interconnected. On one hand, emergence refers to the phenomenon …
Graph-based time-series anomaly detection: A survey
With the recent advances in technology, a wide range of systems continue to collect a large
amount of data over time and thus generate time series. Time-Series Anomaly Detection …
amount of data over time and thus generate time series. Time-Series Anomaly Detection …
Federated Graph Anomaly Detection via Contrastive Self-Supervised Learning
Attribute graph anomaly detection aims to identify nodes that significantly deviate from the
majority of normal nodes, and has received increasing attention due to the ubiquity and …
majority of normal nodes, and has received increasing attention due to the ubiquity and …
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
This survey paper presents a comprehensive and conceptual overview of anomaly detection
using dynamic graphs. We focus on existing graph-based anomaly detection (AD) …
using dynamic graphs. We focus on existing graph-based anomaly detection (AD) …
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) …
Integrating AI into CCTV Systems: A Comprehensive Evaluation of Smart Video Surveillance in Community Space
This article presents an AI-enabled Smart Video Surveillance (SVS) designed to enhance
safety in community spaces such as educational and recreational areas, and small …
safety in community spaces such as educational and recreational areas, and small …
Privacy-preserving Real-world Video Anomaly Detection
GA Noghre - 2023 IEEE International Conference on Smart …, 2023 - ieeexplore.ieee.org
Video anomaly detection is a significant problem in computer vision that aims to detect
unusual or abnormal behaviors in video data that can be used to enhance public safety …
unusual or abnormal behaviors in video data that can be used to enhance public safety …
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems
S Chen, X Du, J Wang - arXiv preprint arXiv:2401.10300, 2024 - arxiv.org
Emergence, a global property of complex adaptive systems (CASs) constituted by interactive
agents, is prevalent in real-world dynamic systems, eg, network-level traffic congestions …
agents, is prevalent in real-world dynamic systems, eg, network-level traffic congestions …
Burstiness-aware Bipartite Graph Neural Networks for Fraudulent User Detection on Rating Platforms
As the digital commerce landscape continues to expand with rating platforms, the consumer
base has similarly grown, marking a pivotal reliance on user ratings and reviews. However …
base has similarly grown, marking a pivotal reliance on user ratings and reviews. However …