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Evaluating the Effectiveness of Video Anomaly Detection in the Wild: Online Learning and Inference for Real-world Deployment
Video Anomaly Detection (VAD) identifies unusual activities in video streams, a key technology with broad applications ranging from surveillance to healthcare.
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 businesses.
Real-World Community-in-the-Loop Smart Video Surveillance -- A Case Study at a Community College
This paper presents a case study for designing and deploying smart video surveillance systems based on a real-world testbed at a community college.
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 security, the demand for accurate real-time intelligent surveillance has never been higher.
