scholarly journals Accurate Long-Term Multiple People Tracking Using Video and Body-Worn IMUs

2020 ◽  
Vol 29 ◽  
pp. 8476-8489
Author(s):  
Roberto Henschel ◽  
Timo Von Marcard ◽  
Bodo Rosenhahn
Keyword(s):  
People Tracking ◽  
Multiple People Tracking

scholarly journals A portable three-dimensional LIDAR-based system for long-term and wide-area people behavior measurement

2019 ◽  
Vol 16 (2) ◽  
pp. 172988141984153 ◽  
Author(s):  
Kenji Koide ◽  
Jun Miura ◽  
Emanuele Menegatti
Keyword(s):  
Preliminary Analysis ◽  
Three Dimensional ◽  
Light Detection And Ranging ◽  
Wide Area ◽  
Elderly Persons ◽  
Tracking Systems ◽  
People Tracking ◽  
Design Systems ◽  
Environmental Map

It is important to measure and analyze people behavior to design systems which interact with people. This article describes a portable people behavior measurement system using a three-dimensional LIDAR. In this system, an observer carries the system equipped with a three-dimensional Light Detection and Ranging (LIDAR) and follows persons to be measured while keeping them in the sensor view. The system estimates the sensor pose in a three-dimensional environmental map and tracks the target persons. It enables long-term and wide-area people behavior measurements which are hard for existing people tracking systems. As a field test, we recorded the behavior of professional caregivers attending elderly persons with dementia in a hospital. The preliminary analysis of the behavior reveals how the caregivers decide the attending position while checking the surrounding people and environment. Based on the analysis result, empirical rules to design the behavior of attendant robots are proposed.

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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