60 citations · 104 across the 12 of their papers we have counts for
13 papers
EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications
Seungjin Kim, Reza Jafarpourmarzouni, Christopher Neff +2
Vehicle trajectory prediction is central to highway perception, but deployment on roadside edge devices necessitates bounded, deterministic end-to-end latency. We present EdgeVTP,…
From Lab to Field: Real-World Evaluation of an AI-Driven Smart Video Solution to Enhance Community Safety
Shanle Yao, Babak Rahimi Ardabili, Armin Danesh Pazho +4
This article adopts and evaluates an AI-enabled Smart Video Solution (SVS) designed to enhance safety in the real world. The system integrates with existing infrastructure camera n…
Real-Time Online Unsupervised Domain Adaptation for Real-World Person Re-identification
Christopher Neff, Armin Danesh Pazho, Hamed Tabkhi
Following the popularity of Unsupervised Domain Adaptation (UDA) in person re-identification, the recently proposed setting of Online Unsupervised Domain Adaptation (OUDA) attempts…
Real-World Community-in-the-Loop Smart Video Surveillance -- A Case Study at a Community College
Shanle Yao, Babak Rahimi Ardabili, Armin Danesh Pazho +3
Smart Video surveillance systems have become important recently for ensuring public safety and security, especially in smart cities. However, applying real-time artificial intellig…
Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safety
Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre +5
Recent advancements in artificial intelligence (AI) have seen the emergence of smart video surveillance (SVS) in many practical applications, particularly for building safer and mo…
Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things
Armin Danesh Pazho, Christopher Neff, Ghazal Alinezhad Noghre +4
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 equitabl…
Understanding Ethics, Privacy, and Regulations in Smart Video Surveillance for Public Safety
Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre +3
Recently, Smart Video Surveillance (SVS) systems have been receiving more attention among scholars and developers as a substitute for the current passive surveillance systems. Thes…
CHAD: Charlotte Anomaly Dataset
Armin Danesh Pazho, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili +2
In recent years, we have seen a significant interest in data-driven deep learning approaches for video anomaly detection, where an algorithm must determine if specific frames of a…
Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems
Ghazal Alinezhad Noghre, Vinit Katariya, Armin Danesh Pazho +2
Path prediction is an essential task for many real-world Cyber-Physical Systems (CPS) applications, from autonomous driving and traffic monitoring/management to pedestrian/worker s…
ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation
Ghazal Alinezhad Noghre, Armin Danesh Pazho, Justin Sanchez +3
Recent advancements in computer vision have seen a rise in the prominence of applications using neural networks to understand human poses. However, while accuracy has been steadily…
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance
Justin Sanchez, Christopher Neff, Hamed Tabkhi
Action recognition is a key algorithmic part of emerging on-the-edge smart video surveillance and security systems. Skeleton-based action recognition is an attractive approach whic…
EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation
Christopher Neff, Aneri Sheth, Steven Furgurson +1
There is an increasing demand for lightweight multi-person pose estimation for many emerging smart IoT applications. However, the existing algorithms tend to have large model sizes…
REVAMPT: Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking
Christopher Neff, Matías Mendieta, Shrey Mohan +3
This article presents REVAMPT, Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking, as an integrated end-to-end IoT system for privacy-built-in de…