Abstract
The human-friendly navigation of mobile robots is a significant social and technological issue. There are many potential applications of human-following technology. Good examples are human-following shopping carts, porter robots at airports, and museum guide robots. In this paper, we propose detection and tracking schemes for human legs by the use of a single laser range finder. The leg detection algorithm takes an inductive approach by the application of a support vector data description scheme and simple attributes. We establish an efficient leg-tracking scheme by exploiting a human walking model to achieve robust tracking under occlusions. The proposed schemes are successfully verified through experiments.
Original language | English |
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Pages (from-to) | 3156-3166 |
Number of pages | 11 |
Journal | IEEE Transactions on Industrial Electronics |
Volume | 59 |
Issue number | 8 |
DOIs | |
Publication status | Published - 2012 Aug |
Bibliographical note
Funding Information:Manuscript received January 28, 2010; revised August 26, 2010, May 6, 2011, and July 24, 2011; accepted September 7, 2011. Date of publication October 3, 2011; date of current version March 30, 2012. This work was supported in part by the Ministry of Knowledge Economy (MKE) under the Human Resources Development Program for Convergence Robot Specialists under Grant NIPA-2011-C7000-1001-0005, by MKE under the Information Technology Research Center Support Program under Grant NIPA-2009-C1090-0902-0007, and by the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology under Grant 2010-0022609. This work was also supported in part by an NRF grant funded by the Korean government (MEST) (2011-0016225).
Keywords
- Human following
- human-robot interaction
- leg detection
- mobile robot navigation
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering