抄録
Vision-based human motion sensing has a strong merit that it does not impose any physical restrictions on humans, which provides a natural way of measuring human motion. However, its real-time processing is not easy to realize, because a human body has a high degrees of freedom, whose vision-based analysis is not simple and is usually time consuming. Here, we have developed a method in which human postures are analyzed from a limited number of visual cues. It is a combination of numerical analysis of inverse kinematics and visual search. Our method is based on a general framework of inverse kinematics, and, therefore, we can use relatively complex human figure model, which can generates natural human motion. In our experimental studies, we show that our implemented system works in real-time on a PC-cluster.
| 元の言語 | 英語 |
|---|---|
| ホスト出版物のタイトル | Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 |
| 編集者 | J. Kittler, M. Petrou, M. Nixon |
| ページ | 318-321 |
| ページ数 | 4 |
| 巻 | 3 |
| DOI | |
| 出版物ステータス | 出版済み - 12 20 2004 |
| イベント | Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, 英国 継続期間: 8 23 2004 → 8 26 2004 |
その他
| その他 | Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 |
|---|---|
| 国 | 英国 |
| 市 | Cambridge |
| 期間 | 8/23/04 → 8/26/04 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
これを引用
Real-time human motion sensing based on vision-based inverse kinematics for interactive applications. / Date, Naoto; Yoshimoto, Hiromasa; Arita, Daisaku; Taniguchi, Rin-Ichiro.
Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. 版 / J. Kittler; M. Petrou; M. Nixon. 巻 3 2004. p. 318-321.研究成果: 著書/レポートタイプへの貢献 › 会議での発言
}
TY - GEN
T1 - Real-time human motion sensing based on vision-based inverse kinematics for interactive applications
AU - Date, Naoto
AU - Yoshimoto, Hiromasa
AU - Arita, Daisaku
AU - Taniguchi, Rin-Ichiro
PY - 2004/12/20
Y1 - 2004/12/20
N2 - Vision-based human motion sensing has a strong merit that it does not impose any physical restrictions on humans, which provides a natural way of measuring human motion. However, its real-time processing is not easy to realize, because a human body has a high degrees of freedom, whose vision-based analysis is not simple and is usually time consuming. Here, we have developed a method in which human postures are analyzed from a limited number of visual cues. It is a combination of numerical analysis of inverse kinematics and visual search. Our method is based on a general framework of inverse kinematics, and, therefore, we can use relatively complex human figure model, which can generates natural human motion. In our experimental studies, we show that our implemented system works in real-time on a PC-cluster.
AB - Vision-based human motion sensing has a strong merit that it does not impose any physical restrictions on humans, which provides a natural way of measuring human motion. However, its real-time processing is not easy to realize, because a human body has a high degrees of freedom, whose vision-based analysis is not simple and is usually time consuming. Here, we have developed a method in which human postures are analyzed from a limited number of visual cues. It is a combination of numerical analysis of inverse kinematics and visual search. Our method is based on a general framework of inverse kinematics, and, therefore, we can use relatively complex human figure model, which can generates natural human motion. In our experimental studies, we show that our implemented system works in real-time on a PC-cluster.
UR - http://www.scopus.com/inward/record.url?scp=10044275031&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=10044275031&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2004.1334531
DO - 10.1109/ICPR.2004.1334531
M3 - Conference contribution
AN - SCOPUS:10044275031
SN - 0769521282
VL - 3
SP - 318
EP - 321
BT - Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
A2 - Kittler, J.
A2 - Petrou, M.
A2 - Nixon, M.
ER -