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conducting_music_-_mapping_movements_to_measures

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====== Conducting Music - Mapping Movements to Measures ====== | Authors | Harald Grohganz, Sebastian Boeck, and Sebastian Stober | | Affiliation | University of Bonn, Johannes-Kepler-Universität Linz, Western University London (Ontario) | | Code | [[https://github.com/github/dmca|Github Link]] | In this project, we contributed some Machine Learning techniques which may lead to an advanced "conductible" MIDI player. At the end, this player might provide tempo control by hand gestures in real-time. {{::democonducting.png|}} ===== Interface ===== MIDI player providing the actual position within each measure during playback. Therefore, we use Dense Optical Flow to detect global movement - hence it is not necessary to track a conductor's hand or baton. This is some previous work, written entirely in Java. Our goal at HAMR: * Test some features * Estimate the conductor's position in measure. ===== The Model =====

conducting_music_-_mapping_movements_to_measures.1414313174.txt.gz · Last modified: 2014/10/26 04:46 by harald