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Paper Detail

Paper IDARS-10.9
Paper Title ON THE PRECISION OF MARKERLESS 3D SEMANTIC FEATURES: AN EXPERIMENTAL STUDY ON VIOLIN PLAYING
Authors Matteo Moro, Maura Casadio, University of Genova, Italy; Leigh Ann Mrotek, Marquette University, United States; Rajiv Ranganathan, Michigan State University, United States; Robert Scheidt, Marquette University, United States; Francesca Odone, University of Genova, Italy
SessionARS-10: Image and Video Analysis and Synthesis
LocationArea H
Session Time:Monday, 20 September, 15:30 - 17:00
Presentation Time:Monday, 20 September, 15:30 - 17:00
Presentation Poster
Topic Image and Video Analysis, Synthesis, and Retrieval: Image & Video Interpretation and Understanding
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Human motion analysis is an essential task in several domains and, depending on the application field, it requires different level of accuracy. In the motor control field it is commonly performed with motion capture systems and infrared markers that guarantee a high accuracy. However, these systems are expensive, cumbersome, and may induce bias. An alternative to marker-based technologies are image-based marker-less systems, that are cheaper and do not affect the naturalness of the motion. Although their accuracy level seems to limit their use in motor control field, a thorough quantitative comparison with marker-based techniques does not appear to be available yet. We compare the estimates of a 3D image-based marker-less pipeline we propose, with a standard marker-based system; the analysis is carried out on a multi-sensor dataset acquired to study the motion of violin players. The results we obtain on the precision level are suggesting that marker-less systems may successfully track performances in real-world settings.