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Found 12 papers, 4 papers with code
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-Time Online Unsupervised Domain Adaptation for Real-World Person Re-identification
This paper defines the setting of Real-world Real-time Online Unsupervised Domain Adaptation (R$^2$OUDA) for Person Re-identification.
Online unsupervised domain adaptation
Person Re-Identification
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.
Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems
These real-world CPS applications need a robust, lightweight path prediction that can provide a universal network architecture for multiple subjects (e. g., pedestrians and vehicles) from different perspectives.
Ranked #1 on
Trajectory Prediction
on ActEV
ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation
Recent advancements in computer vision have seen a rise in the prominence of applications using neural networks to understand human poses.
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance
Action recognition is a key algorithmic part of emerging on-the-edge smart video surveillance and security systems.
EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation
The largest model is able to come within 4. 4% accuracy of the current state-of-the-art, while having 1/3 the model size and 1/6 the computation, achieving 23 FPS on Nvidia Jetson Xavier.
REVAMP$^2$T: Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking
This article presents REVAMP$^2$T, Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking, as an integrated end-to-end IoT system for privacy-built-in decentralized situational awareness.
