Abstract
The human-following is one of the significant procedure in human-friendly navigation of mobile robots. There are many potential applications of human-following technology. In this paper, we propose detection and tracking approaches for human legs by the use of a single LRF. We extract four simple attributes of human legs. To define the boundary of extracted attributes mathematically, we used a Support Vector Data Description (SVDD) scheme. When the target person moved with the close neighborhood of the other pedestrian, target tracker missed the target person. For this situation, we newly analyze the leg movement. The proposed approaches were successfully verified through various experiments.
| Original language | English |
|---|---|
| Title of host publication | InECCE 2011 - International Conference on Electrical, Control and Computer Engineering |
| Pages | 97-102 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2011 Aug 18 |
| Event | 1st International Conference on Electrical, Control and Computer Engineering 2011, InECCE 2011 - Kuantan, Malaysia Duration: 2011 Jun 21 → 2011 Jun 22 |
Other
| Other | 1st International Conference on Electrical, Control and Computer Engineering 2011, InECCE 2011 |
|---|---|
| Country | Malaysia |
| City | Kuantan |
| Period | 11/6/21 → 11/6/22 |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
Detection and following of human legs using the SVDD (Support Vector Data Description) scheme for a mobile robot with a single laser range finder. / Yoo, Yoonkyu; Chung, Woo Jin.
InECCE 2011 - International Conference on Electrical, Control and Computer Engineering. 2011. p. 97-102 5953857.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Detection and following of human legs using the SVDD (Support Vector Data Description) scheme for a mobile robot with a single laser range finder
AU - Yoo, Yoonkyu
AU - Chung, Woo Jin
PY - 2011/8/18
Y1 - 2011/8/18
N2 - The human-following is one of the significant procedure in human-friendly navigation of mobile robots. There are many potential applications of human-following technology. In this paper, we propose detection and tracking approaches for human legs by the use of a single LRF. We extract four simple attributes of human legs. To define the boundary of extracted attributes mathematically, we used a Support Vector Data Description (SVDD) scheme. When the target person moved with the close neighborhood of the other pedestrian, target tracker missed the target person. For this situation, we newly analyze the leg movement. The proposed approaches were successfully verified through various experiments.
AB - The human-following is one of the significant procedure in human-friendly navigation of mobile robots. There are many potential applications of human-following technology. In this paper, we propose detection and tracking approaches for human legs by the use of a single LRF. We extract four simple attributes of human legs. To define the boundary of extracted attributes mathematically, we used a Support Vector Data Description (SVDD) scheme. When the target person moved with the close neighborhood of the other pedestrian, target tracker missed the target person. For this situation, we newly analyze the leg movement. The proposed approaches were successfully verified through various experiments.
UR - http://www.scopus.com/inward/record.url?scp=80051635640&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80051635640&partnerID=8YFLogxK
U2 - 10.1109/INECCE.2011.5953857
DO - 10.1109/INECCE.2011.5953857
M3 - Conference contribution
AN - SCOPUS:80051635640
SN - 9781612842288
SP - 97
EP - 102
BT - InECCE 2011 - International Conference on Electrical, Control and Computer Engineering
ER -