60 citations · 60 across the 1 of their papers we have counts for
3 papers · 1 filter
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…