Mez: An adaptive messaging system for latency-sensitive multi-camera machine vision at the iot edge
Mez is a novel publish-subscribe messaging system for latency sensitive multi-camera
machine vision applications at the IoT Edge. The unlicensed wireless communication in IoT …
machine vision applications at the IoT Edge. The unlicensed wireless communication in IoT …
REVAMP2T: Real-Time Edge Video Analytics for Multicamera Privacy-Aware Pedestrian Tracking
This article presents real-time edge video analytics for multicamera privacy-aware
pedestrian tracking (REVAMP 2 T), as an integrated end-to-end Internet of Things (IoT) …
pedestrian tracking (REVAMP 2 T), as an integrated end-to-end Internet of Things (IoT) …
Wildtrack: A multi-camera hd dataset for dense unscripted pedestrian detection
T Chavdarova, P Baqué, S Bouquet… - Proceedings of the …, 2018 - openaccess.thecvf.com
People detection methods are highly sensitive to occlusions between pedestrians, which are
extremely frequent in many situations where cameras have to be mounted at a limited …
extremely frequent in many situations where cameras have to be mounted at a limited …
Real-time human detection as an edge service enabled by a lightweight cnn
Edge computing allows more computing tasks to take place on the decentralized nodes at
the edge of networks. Today many delay sensitive, mission-critical applications can leverage …
the edge of networks. Today many delay sensitive, mission-critical applications can leverage …
EagleEye: Wearable camera-based person identification in crowded urban spaces
We present EagleEye, an AR-based system that identifies missing person (or people) in
large, crowded urban spaces. Designing EagleEye involves critical technical challenges for …
large, crowded urban spaces. Designing EagleEye involves critical technical challenges for …
Cross-camera inference on the constrained edge
The proliferation of edge devices has pushed computing from the cloud to the data sources,
and video analytics is among the most promising applications of edge computing. Running …
and video analytics is among the most promising applications of edge computing. Running …
Application-aware IoT camera virtualization for video analytics edge computing
Video analytics edge computing exploiting IoT cameras has gained high attention. Running
such tasks on the network edge is very challenging since video and image processing are …
such tasks on the network edge is very challenging since video and image processing are …
Multi-camera people tracking with mixture of realistic and synthetic knowledge
QQV Nguyen, HDA Le, TTT Chau… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper presents a solution for Track 1 of the AI City Challenge 2023, which involves
Multi-Camera People Tracking in indoor scenarios. The proposed framework comprises four …
Multi-Camera People Tracking in indoor scenarios. The proposed framework comprises four …
An IoT-enabled real-time overhead view person detection system based on Cascade-RCNN and transfer learning
Internet of things (IoT) is transforming technological evolution in several practical
applications. These applications range from smart cities, smart healthcare to intelligent video …
applications. These applications range from smart cities, smart healthcare to intelligent video …
Tutti: coupling 5g ran and mobile edge computing for latency-critical video analytics
Mobile edge computing (MEC), as a key ingredient of the 5G ecosystem, is envisioned to
support demanding applications with stringent latency requirements. The basic idea is to …
support demanding applications with stringent latency requirements. The basic idea is to …