Human Motion Detection and Visual Augmentation of Chopin’s Etudes
| dc.contributor.author | Kerr, David Philip | |
| dc.contributor.supervisor | Wyvill, Brian | |
| dc.date.accessioned | 2014-11-25T23:13:09Z | |
| dc.date.available | 2014-11-25T23:13:09Z | |
| dc.date.copyright | 2014 | en_US |
| dc.date.issued | 2014-11-25 | |
| dc.degree.department | Department of Computer Science | |
| dc.degree.level | Master of Science M.Sc. | en_US |
| dc.description.abstract | Chopin’s Etudes are difficult musical compositions for advanced piano students. Helmut Brauss, a professional pianist and educator, has created a number of videos to teach students motion patterns that will help them perfect the Etudes. The subtleties of motion shown in the videos are not apparently obvious to students, and in our research, we have developed four markerless based approaches to visually augment the videos: Predictive Optical Flow, Historical Optical Flow, Predictive Hand Tracking and Historical Hand Tracking. A survey of students learning the Etudes was conducted, and it was determined that the participants found the Historical techniques to be the most useful. No difference could be found between the usefulness of the Optical Flow and Hand Tracking augmentations. | en_US |
| dc.description.scholarlevel | Graduate | en_US |
| dc.identifier.uri | http://hdl.handle.net/1828/5733 | |
| dc.language | English | eng |
| dc.language.iso | en | en_US |
| dc.rights.temp | Available to the World Wide Web | en_US |
| dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
| dc.subject | Computer Vision | en_US |
| dc.subject | Human Motion Detection | en_US |
| dc.subject | Optical Flow | en_US |
| dc.subject | tracking | en_US |
| dc.title | Human Motion Detection and Visual Augmentation of Chopin’s Etudes | en_US |
| dc.type | Thesis | en_US |