Top view multiple people tracking by detection using deep SORT and YOLOv3 with transfer learning: within 5G infrastructure

2020 ◽  
Author(s):  
Imran Ahmed ◽  
Misbah Ahmad ◽  
Awais Ahmad ◽  
Gwanggil Jeon
Keyword(s):  
Transfer Learning ◽  
People Tracking ◽  
Multiple People Tracking ◽  
Tracking By Detection ◽  
Top View

Hierarchical Grid-based Multi-People Tracking-by-Detection With Global Optimization

2015 ◽  
Vol 24 (11) ◽  
pp. 4197-4212 ◽  
Author(s):  
Lili Chen ◽  
Wei Wang ◽  
Giorgio Panin ◽  
Alois Knoll
Keyword(s):  
Global Optimization ◽  
People Tracking ◽  
Tracking By Detection ◽  
Grid Based

scholarly journals Computer Vision based Machine Interaction

2011 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
Carlos Hitoshi Morimoto ◽  
Flávio Coutinho ◽  
Jefferson Silva ◽  
Silvia Ghirotti ◽  
Thiago Santos
Keyword(s):  
Computer Vision ◽  
Virtual Reality ◽  
People Tracking ◽  
Desktop Computers ◽  
Monitoring Applications ◽  
Multiple People Tracking ◽  
Machine Interaction

This paper introduces the Laboratory of Technologies for Interaction(LaTIn) and briefly describes its current main projects. The mainfocus of LaTInhas been developing new ways of human-machineinteraction using computer vision techniques. The projects arecathegorized according to the distance between the human user and themachine being operated. For close distances, appropriate forinteraction with desktop computers for example, we have developed eye-gazebased interfaces. We have also built hand and body gestures interfacesappropriate for kiosks and virtual reality settings and, for largedistances, we have developed novel multiple people tracking techniquesthat have been used for surveillance and monitoring applications.

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