TY - JOUR
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 - 2009/4/7
Y1 - 2009/4/7
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 article
AN - SCOPUS:63549090142
VL - 7252
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
SN - 0277-786X
M1 - 72520S
T2 - Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques
Y2 - 19 January 2009 through 20 January 2009
ER -