A multiple people tracking algorithm for large view scene

2019 ◽  
Author(s):  
Shengke Wang ◽  
Yuan Cao ◽  
Guoan Cheng ◽  
Fenghui Xue ◽  
Junyu Dong
Keyword(s):  
Tracking Algorithm ◽  
People Tracking ◽  
Multiple People Tracking

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.

Jointly detecting and multiple people tracking by semantic and scene information

2020 ◽  
Vol 412 ◽  
pp. 244-251 ◽  
Author(s):  
Zhixiong Pi ◽  
Huai Qin ◽  
Changxin Gao ◽  
Nong Sang
Keyword(s):  
People Tracking ◽  
Scene Information ◽  
Multiple People Tracking

Dense Compounded Features and Data Association Based Multiple People Tracking

2021 ◽  
Author(s):  
Mahmoud Al-Faris ◽  
John Chiverton ◽  
David Ndzi ◽  
Mohanad Alhabo
Keyword(s):  
Data Association ◽  
People Tracking ◽  
Multiple People Tracking
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