Abstract
We try to construct an estimation system of human behaviors, confining only the human behaviors that a robot vision head has met on, by extracting valuable information on the human behaviors from the binocular camera. Thus, in the present approach the human actions and objects related to the human behaviors are estimated by the images obtained from the camera, and their information are utilized for the human behavior estimation. Here, assume that, for the present estimation system of human behaviors, the information on a two-dimensional map that the human acts and behaves is known in advance and available.
| Original language | English |
|---|---|
| Title of host publication | ICCAS 2007 - International Conference on Control, Automation and Systems |
| Pages | 634-639 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2007 |
| Externally published | Yes |
| Event | International Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of Duration: Oct 17 2007 → Oct 20 2007 |
Other
| Other | International Conference on Control, Automation and Systems, ICCAS 2007 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 10/17/07 → 10/20/07 |
Fingerprint
Keywords
- Binocular vision head
- Estimation of human behaviors
- Feature extraction of human postures
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
Feature extractions for estimating human behaviors via a binocular vision head. / Watanabe, Keigo; Izumi, Kiyotaka; Kamohara, Kohei; Yamada, Eisuke.
ICCAS 2007 - International Conference on Control, Automation and Systems. 2007. p. 634-639 4406976.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Feature extractions for estimating human behaviors via a binocular vision head
AU - Watanabe, Keigo
AU - Izumi, Kiyotaka
AU - Kamohara, Kohei
AU - Yamada, Eisuke
PY - 2007
Y1 - 2007
N2 - We try to construct an estimation system of human behaviors, confining only the human behaviors that a robot vision head has met on, by extracting valuable information on the human behaviors from the binocular camera. Thus, in the present approach the human actions and objects related to the human behaviors are estimated by the images obtained from the camera, and their information are utilized for the human behavior estimation. Here, assume that, for the present estimation system of human behaviors, the information on a two-dimensional map that the human acts and behaves is known in advance and available.
AB - We try to construct an estimation system of human behaviors, confining only the human behaviors that a robot vision head has met on, by extracting valuable information on the human behaviors from the binocular camera. Thus, in the present approach the human actions and objects related to the human behaviors are estimated by the images obtained from the camera, and their information are utilized for the human behavior estimation. Here, assume that, for the present estimation system of human behaviors, the information on a two-dimensional map that the human acts and behaves is known in advance and available.
KW - Binocular vision head
KW - Estimation of human behaviors
KW - Feature extraction of human postures
UR - http://www.scopus.com/inward/record.url?scp=48349087947&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48349087947&partnerID=8YFLogxK
U2 - 10.1109/ICCAS.2007.4406976
DO - 10.1109/ICCAS.2007.4406976
M3 - Conference contribution
AN - SCOPUS:48349087947
SN - 8995003871
SN - 9788995003879
SP - 634
EP - 639
BT - ICCAS 2007 - International Conference on Control, Automation and Systems
ER -