Search Results for author:
Found 9 papers, 2 papers with code
PHEVA: A Privacy-preserving Human-centric Video Anomaly Detection Dataset
This study benchmarks state-of-the-art methods on PHEVA using a comprehensive set of metrics, including the 10% Error Rate (10ER), a metric used for anomaly detection for the first time providing insights relevant to real-world deployment.
Ranked #1 on
Anomaly Detection
on PHEVA
Understanding the Transit Gap: A Comparative Study of On-Demand Bus Services and Urban Climate Resilience in South End, Charlotte, NC and Avondale, Chattanooga, TN
Notably, doubling bus utilization decreased daily emissions by 10. 18% in South End and 8. 13% in Avondale, with a corresponding reduction in overall traffic.
Expert with Clustering: Hierarchical Online Preference Learning Framework
To the best of the authors knowledge, this is the first work to analyze the regret of an integrated expert algorithm with k-Means clustering.
From Lab to Field: Real-World Evaluation of an AI-Driven Smart Video Solution to Enhance Community Safety
This article presents a comprehensive real-world deployment and evaluation of the SVS, implemented in a community college environment across 16 cameras.
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.
Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safety
Finally, we propose quantitative and qualitative metrics to evaluate intelligent video surveillance systems.
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.
Understanding Ethics, Privacy, and Regulations in Smart Video Surveillance for Public Safety
These systems are used to make the policing and monitoring systems more efficient and improve public safety.
CHAD: Charlotte Anomaly Dataset
In addition to frame-level anomaly labels, CHAD is the first anomaly dataset to include bounding box, identity, and pose annotations for each actor.
