A deep learning-based social distance monitoring framework for COVID-19
The ongoing COVID-19 corona virus outbreak has caused a global disaster with its deadly
spreading. Due to the absence of effective remedial agents and the shortage of …
spreading. Due to the absence of effective remedial agents and the shortage of …
Adaptive computer vision-based 2D tracking of workers in complex environments
Monitoring of construction workers is important in managing labour productivity. To date, the
construction sector relies either on intensive manual observations or intrusive tag-based …
construction sector relies either on intensive manual observations or intrusive tag-based …
A survey of multiple pedestrian tracking based on tracking-by-detection framework
Multiple pedestrian tracking (MPT) has gained significant attention due to its huge potential
in a commercial application. It aims to predict multiple pedestrian trajectories and maintain …
in a commercial application. It aims to predict multiple pedestrian trajectories and maintain …
The first visual object tracking segmentation vots2023 challenge results
Abstract The Visual Object Tracking Segmentation VOTS2023 challenge is the eleventh
annual tracker benchmarking activity of the VOT initiative. This challenge is the first to merge …
annual tracker benchmarking activity of the VOT initiative. This challenge is the first to merge …
[PDF][PDF] Re3: Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects.
Robust object tracking requires knowledge and understanding of the object being tracked:
its appearance, its motion, and how it changes over time. A tracker must be able to modify its …
its appearance, its motion, and how it changes over time. A tracker must be able to modify its …
Top view multiple people tracking by detection using deep SORT and YOLOv3 with transfer learning: within 5G infrastructure
Nowadays, 5G profoundly impacts video surveillance and monitoring services by processing
video streams at high-speed with high-reliability, high bandwidth, and secure network …
video streams at high-speed with high-reliability, high bandwidth, and secure network …
Adapting Gaussian YOLOv3 with transfer learning for overhead view human detection in smart cities and societies
Nowadays, deep neural networks are widely applied in sustainable smart cities and
societies, including smart manufacturing, healthcare, industries, agriculture, surveillance …
societies, including smart manufacturing, healthcare, industries, agriculture, surveillance …
Edge computing-based person detection system for top view surveillance: Using CenterNet with transfer learning
Edge computing significantly expands the range of information technology in smart video
surveillance applications in the era of intelligent and connected cities. Edge devices …
surveillance applications in the era of intelligent and connected cities. Edge devices …
A real-time person tracking system based on SiamMask network for intelligent video surveillance
Real-time video surveillance systems are widely deployed in various environments,
including public areas, commercial buildings, and public infrastructures. Person detection is …
including public areas, commercial buildings, and public infrastructures. Person detection is …
Unfriending on Facebook: Friend request and online/offline behavior analysis
C Sibona, S Walczak - 2011 44th Hawaii International …, 2011 - ieeexplore.ieee.org
Objectives: Determine the role of the friend request in unfriending decisions. Find factors in
unfriending decisions and find differences in the perception of online and offline behaviors …
unfriending decisions and find differences in the perception of online and offline behaviors …