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Stereo Vision-Based Human Tracking for Robotic Follower : Tracking di esseri umani basato su visione stereoscopica per un seguitore robotico, in: International Journal of Advanced Robotic Systems
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Auteur Petrović, Emina; Leu, Adrian; Ristić-Durrant, Danijela; Nikolić, Vlastimir
Publié  InTech Open Access Publisher, 2013
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Abstract This paper addresses the problem of real‐time
vision‐based human tracking to enable mobile robots to
follow a human co‐worker. A novel approach to combine
stereo vision‐based human detection with human
tracking using a modified Kalman filter is presented.
Stereo vision‐based detection combines features extracted
from 2D stereo images with reconstructed 3D object
features to detect humans in a robot’s environment. For
human tracking a modified Kalman filter recursively
predicts and updates estimates of the 3D coordinates of a
human in the robot’s camera coordinate system. This
prediction enables human detection to be performed on
the image region of interest contributing to cost effective
human tracking. The performance of the presented
method was tested within a working scenario of a mobile
robot intended to follow a human co‐worker in indoor
applications as well as in outdoor applications.
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Superordinate work
 
no fulltext found International Journal of Advanced Robotic Systems
Auteur: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publié: 2004
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Documents: International Journal of Advanced Robotic Systems
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DMG-Lib FaviconDMG-Lib https://www.dmg-lib.org/dmglib/handler?docum=31820009
Europeana FaviconEuropeana  http://www.europeana.eu/portal/record/2020801/dmglib_handler_docum_31820009.html
PDF FaviconPDF  Stereo Vision-Based Human Tracking for Robotic Follower
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UCAUniv. Cassino  http://webuser.unicas.it/weblarm/larmindex.htm
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Time of publication 2013
License information Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License

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