Abstract
This paper presents real-time human motion analysis for human-machine interface. In general, man-machine 'smart' interface requires real-time human motion capturing systems without special devices or markers. Although vision-based human motion capturing systems do not use such special devices and markers, they are essentially unstable and can only acquire partial information because of self-occlusion. When we analyze full-body motion, the problem becomes more severer. Therefore, we have to introduce a robust pose estimation strategy to deal with relatively poor results of image analysis. To solve this problem, we have developed a method to estimate full-body human postures, where an initial estimation is acquired by real-time inverse kinematics and, based on the estimation, more accurate estimation is searched for referring to the processed image. The key point is that our system can estimate full-body human postures from limited perceptual cues such as positions of a head, hands and feet, which can be stably acquired by silhouette contour analysis.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Working Conference on Advanced Visual Interfaces, AVI 2002 |
| Pages | 195-202 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - Dec 1 2002 |
| Event | Working Conference on Advanced Visual Interfaces, AVI 2002 - Trento, Italy Duration: May 22 2002 → May 24 2002 |
Publication series
| Name | Proceedings of the Workshop on Advanced Visual Interfaces AVI |
|---|
Other
| Other | Working Conference on Advanced Visual Interfaces, AVI 2002 |
|---|---|
| Country | Italy |
| City | Trento |
| Period | 5/22/02 → 5/24/02 |
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All Science Journal Classification (ASJC) codes
- Software
- Human-Computer Interaction
Cite this
Real-time human motion analysis for human-machine interface. / Taniguchi, Rin-Ichiro; Yonemoto, Satoshi; Arita, Daisaku; Hoshino, Ryuya.
Proceedings of the Working Conference on Advanced Visual Interfaces, AVI 2002. 2002. p. 195-202 (Proceedings of the Workshop on Advanced Visual Interfaces AVI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Real-time human motion analysis for human-machine interface
AU - Taniguchi, Rin-Ichiro
AU - Yonemoto, Satoshi
AU - Arita, Daisaku
AU - Hoshino, Ryuya
PY - 2002/12/1
Y1 - 2002/12/1
N2 - This paper presents real-time human motion analysis for human-machine interface. In general, man-machine 'smart' interface requires real-time human motion capturing systems without special devices or markers. Although vision-based human motion capturing systems do not use such special devices and markers, they are essentially unstable and can only acquire partial information because of self-occlusion. When we analyze full-body motion, the problem becomes more severer. Therefore, we have to introduce a robust pose estimation strategy to deal with relatively poor results of image analysis. To solve this problem, we have developed a method to estimate full-body human postures, where an initial estimation is acquired by real-time inverse kinematics and, based on the estimation, more accurate estimation is searched for referring to the processed image. The key point is that our system can estimate full-body human postures from limited perceptual cues such as positions of a head, hands and feet, which can be stably acquired by silhouette contour analysis.
AB - This paper presents real-time human motion analysis for human-machine interface. In general, man-machine 'smart' interface requires real-time human motion capturing systems without special devices or markers. Although vision-based human motion capturing systems do not use such special devices and markers, they are essentially unstable and can only acquire partial information because of self-occlusion. When we analyze full-body motion, the problem becomes more severer. Therefore, we have to introduce a robust pose estimation strategy to deal with relatively poor results of image analysis. To solve this problem, we have developed a method to estimate full-body human postures, where an initial estimation is acquired by real-time inverse kinematics and, based on the estimation, more accurate estimation is searched for referring to the processed image. The key point is that our system can estimate full-body human postures from limited perceptual cues such as positions of a head, hands and feet, which can be stably acquired by silhouette contour analysis.
UR - http://www.scopus.com/inward/record.url?scp=8344219831&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=8344219831&partnerID=8YFLogxK
U2 - 10.1145/1556262.1556293
DO - 10.1145/1556262.1556293
M3 - Conference contribution
AN - SCOPUS:8344219831
SN - 1581135378
SN - 9781581135374
T3 - Proceedings of the Workshop on Advanced Visual Interfaces AVI
SP - 195
EP - 202
BT - Proceedings of the Working Conference on Advanced Visual Interfaces, AVI 2002
ER -