TY - GEN
T1 - Musical analysis of conducting gestures using methods from computer vision
AU - Nakra, Teresa Marrin
AU - Salgian, Andrea
AU - Pfirrmann, Micheal
PY - 2009
Y1 - 2009
N2 - We present technical interpretations of a noted conductor's gestures. These were enabled by Computer Vision techniques that tracked the position of the conductor's right hand from a video sequence. The output of the hand tracking system, when combined with beat and tempo data from the audio signal, provides many possibilities for analyzing the conductor's gestures and expressive techniques. We describe the stages of the video/audio processing, and present our analyses of the conductor's movements.
AB - We present technical interpretations of a noted conductor's gestures. These were enabled by Computer Vision techniques that tracked the position of the conductor's right hand from a video sequence. The output of the hand tracking system, when combined with beat and tempo data from the audio signal, provides many possibilities for analyzing the conductor's gestures and expressive techniques. We describe the stages of the video/audio processing, and present our analyses of the conductor's movements.
UR - http://www.scopus.com/inward/record.url?scp=84905919036&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905919036&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84905919036
SN - 9780971319271
T3 - Proceedings of the 2009 International Computer Music Conference, ICMC 2009
SP - 263
EP - 266
BT - Proceedings of the 2009 International Computer Music Conference, ICMC 2009
PB - International Computer Music Association
T2 - 2009 International Computer Music Conference, ICMC 2009
Y2 - 16 August 2009 through 21 August 2009
ER -