Networking Systems for Video Anomaly Detection: A Tutorial and Survey
University of British Columbia · Fudan University · +10 more institutions
Abstract
The increasing utilization of surveillance cameras in smart cities, coupled with the surge of online video applications, has heightened concerns regarding public security and privacy protection, which propelled automated Video Anomaly Detection (VAD) into a fundamental research task within the Artificial Intelligence (AI) community. With the advancements in deep learning and edge computing, VAD has made significant progress and advances synergized with emerging applications in smart cities and video internet, which has moved beyond the conventional research scope of algorithm engineering to deployable Networking Systems for VAD (NSVAD), a practical hotspot for intersection exploration in the AI, IoVT, and…
Citation impact
- FWCI
- 83.22
- Percentile
- 100%
- References
- 219
Authors
10Topics & keywords
- Computer science
- Anomaly detection
- Data science
- Artificial intelligence