scholarly journals A Study of a People Tracking Method Using Invisible Visual Markers in Indoor Environments

2017 ◽  
Vol 37 (2) ◽  
pp. 1-10
Author(s):  
Susumu SHIRAYAMA ◽  
Rie OSAWA
Keyword(s):  
Indoor Environments ◽  
People Tracking ◽  
Tracking Method ◽  
Visual Markers

Reliable people tracking approach for mobile robot in indoor environments

2010 ◽  
Vol 26 (2) ◽  
pp. 174-179 ◽  
Author(s):  
Chunhua Hu ◽  
Xudong Ma ◽  
Xianzhong Dai ◽  
Kun Qian
Keyword(s):  
Mobile Robot ◽  
Indoor Environments ◽  
People Tracking

scholarly journals An Evidential Framework for Localization of Sensors in Indoor Environments

Sensors ◽  
2020 ◽  
Vol 20 (1) ◽  
pp. 318 ◽  
Author(s):  
Daniel Alshamaa ◽  
Farah Mourad-Chehade ◽  
Paul Honeine ◽  
Aly Chkeir
Keyword(s):  
Indoor Localization ◽  
Indoor Navigation ◽  
Indoor Environments ◽  
People Tracking ◽  
Multiple Sensors ◽  
Dempster Shafer Theory ◽  
Asset Tracking ◽  
Evidence Framework ◽  
Autonomous Robot Navigation ◽  
Shafer Theory

Indoor localization has several applications ranging from people tracking and indoor navigation, to autonomous robot navigation and asset tracking. We tackle the problem as a zoning localization where the objective is to determine the zone where the mobile sensor resides at any instant. The decision-making process in localization systems relies on data coming from multiple sensors. The data retrieved from these sensors require robust fusion approaches to be processed. One of these approaches is the belief functions theory (BFT), also called the Dempster–Shafer theory. This theory deals with uncertainty and imprecision with a theoretically attractive evidential reasoning framework. This paper investigates the usage of the BFT to define an evidence framework for estimating the most probable sensor’s zone. Real experiments demonstrate the effectiveness of this approach and its competence compared to state-of-the-art methods.

1P1-M10 People tracking method for outdoor mobile robot(Vision System for Mobile Robot)

2011 ◽  
Vol 2011 (0) ◽  
pp. _1P1-M10_1-_1P1-M10_2
Author(s):  
Hiroki UEDA ◽  
Jae Hoon LEE ◽  
Shingo OKAMOTO ◽  
Byung-Ju YI ◽  
Shinichi YUTA
Keyword(s):  
Mobile Robot ◽  
Vision System ◽  
Robot Vision ◽  
People Tracking ◽  
Tracking Method ◽  
Mobile Robot Vision
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