抄録
To achieve environments in which humans and mobile robots co-exist, technologies for recognizing hand gestures from the video sequence acquired by a dynamic camera could be useful for human-to-robot interface systems. Most of conventional hand gesture technologies deal with only still camera images. This paper proposes a very simple and stable method for extracting hand motion trajectories based on the Human-Following Local Coordinate System (HFLC System), which is obtained from the located human face and both hands. Then, we apply Condensation Algorithm to the extracted hand trajectories so that the hand motion is recognized. We demonstrate the effectiveness of the proposed method by conducting experiments on 35 kinds of sign language based hand gestures.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | Proceedings of SPIE - The International Society for Optical Engineering |
| 巻 | 7252 |
| DOI | |
| 出版物ステータス | Published - 2009 |
| イベント | Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques - San Jose, CA, United States 継続期間: 2009 1 19 → 2009 1 20 |
Other
| Other | Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques |
|---|---|
| 国 | United States |
| 市 | San Jose, CA |
| 期間 | 09/1/19 → 09/1/20 |
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ASJC Scopus subject areas
- Applied Mathematics
- Computer Science Applications
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
これを引用
Hand-gesture extraction and recognition from the video sequence acquired by a dynamic camera using condensation algorithm. / Dan, Luo; Ohya, Jun.
Proceedings of SPIE - The International Society for Optical Engineering. 巻 7252 2009. 72520S.研究成果: Conference contribution
}
TY - GEN
T1 - Hand-gesture extraction and recognition from the video sequence acquired by a dynamic camera using condensation algorithm
AU - Dan, Luo
AU - Ohya, Jun
PY - 2009
Y1 - 2009
N2 - To achieve environments in which humans and mobile robots co-exist, technologies for recognizing hand gestures from the video sequence acquired by a dynamic camera could be useful for human-to-robot interface systems. Most of conventional hand gesture technologies deal with only still camera images. This paper proposes a very simple and stable method for extracting hand motion trajectories based on the Human-Following Local Coordinate System (HFLC System), which is obtained from the located human face and both hands. Then, we apply Condensation Algorithm to the extracted hand trajectories so that the hand motion is recognized. We demonstrate the effectiveness of the proposed method by conducting experiments on 35 kinds of sign language based hand gestures.
AB - To achieve environments in which humans and mobile robots co-exist, technologies for recognizing hand gestures from the video sequence acquired by a dynamic camera could be useful for human-to-robot interface systems. Most of conventional hand gesture technologies deal with only still camera images. This paper proposes a very simple and stable method for extracting hand motion trajectories based on the Human-Following Local Coordinate System (HFLC System), which is obtained from the located human face and both hands. Then, we apply Condensation Algorithm to the extracted hand trajectories so that the hand motion is recognized. We demonstrate the effectiveness of the proposed method by conducting experiments on 35 kinds of sign language based hand gestures.
KW - Condensation algorithm
KW - Dynamic camera image
KW - Hand gesture extraction
KW - Hand gesture recognition
UR - http://www.scopus.com/inward/record.url?scp=63549090142&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=63549090142&partnerID=8YFLogxK
U2 - 10.1117/12.806108
DO - 10.1117/12.806108
M3 - Conference contribution
AN - SCOPUS:63549090142
VL - 7252
BT - Proceedings of SPIE - The International Society for Optical Engineering
ER -