Survey on video anomaly detection in dynamic scenes with moving cameras
Runyu Jiao, Yi Wan, Fabio Poiesi, Yiming Wang

TL;DR
This survey comprehensively reviews moving camera video anomaly detection (MC-VAD), covering datasets, approaches, challenges, and future directions across various application domains and environments.
Contribution
It is the first extensive survey on MC-VAD, analyzing existing methods, datasets, challenges, and proposing future research directions in this emerging field.
Findings
Compiled 25 datasets across four environments.
Categorized six tasks and five approach types.
Identified key challenges and future research directions.
Abstract
The increasing popularity of compact and inexpensive cameras, e.g.~dash cameras, body cameras, and cameras equipped on robots, has sparked a growing interest in detecting anomalies within dynamic scenes recorded by moving cameras. However, existing reviews primarily concentrate on Video Anomaly Detection (VAD) methods assuming static cameras. The VAD literature with moving cameras remains fragmented, lacking comprehensive reviews to date. To address this gap, we endeavor to present the first comprehensive survey on Moving Camera Video Anomaly Detection (MC-VAD). We delve into the research papers related to MC-VAD, critically assessing their limitations and highlighting associated challenges. Our exploration encompasses three application domains: security, urban transportation, and marine environments, which in turn cover six specific tasks. We compile an extensive list of 25…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAnomaly Detection Techniques and Applications · Network Security and Intrusion Detection · Artificial Immune Systems Applications
