REVAMP$^2$T: Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking

no code implementations • 20 Nov 2019 • Christopher Neff, Matías Mendieta, Shrey Mohan, Mohammadreza Baharani, Samuel Rogers, Hamed Tabkhi

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.

Real-time Person Re-identification at the Edge: A Mixed Precision Approach

1 code implementation • 19 Aug 2019 • Mohammadreza Baharani, Shrey Mohan, Hamed Tabkhi

In this paper, we study the effect of using a light-weight model, MobileNet-v2 for re-ID and investigate the impact of single (FP32) precision versus half (FP16) precision for training on the server and inference on the edge nodes.

Person Re-Identification