Musical Analysis of Conducting Gestures Using Methods from Computer Vision.
Teresa Marrin Nakra, Andrea Selinger Salgian, Micheal Pfirrmann · University of Michigan Library Repository · 2009
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.