A marker-free method for the reconstruction of kinematics from video sequences during posturographic tests is presented. The image processing algorithm relies on a two-phase motion estimation: a Block Matching Technique, and a Fine Interpolation that was verified as granting a subpixel resolution. The algorithm was previously evaluated in terms of robustness with respect to SNR, and then applied to the recognition of postural strategies from real sequences during stabilometric trials. The obtained results confirm the validity of the method and thus favours the exploitation of Video Signal Processing for the determination of kinematics in biomechanical tasks.
Schmid, M., Conforto, S., Giunta, G., D'Alessio, T. (2003). A Subpixel Algorithm for the Reconstruction of Kinematics from Video Sequences in Orthostatic Postural Tests. In PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: A NEW BEGINNING FOR HUMAN HEALTH (pp.821-824). Leder R.S [10.1109/IEMBS.2003.1279891].
A Subpixel Algorithm for the Reconstruction of Kinematics from Video Sequences in Orthostatic Postural Tests
SCHMID, Maurizio;CONFORTO, SILVIA;GIUNTA, GAETANO;
2003-01-01
Abstract
A marker-free method for the reconstruction of kinematics from video sequences during posturographic tests is presented. The image processing algorithm relies on a two-phase motion estimation: a Block Matching Technique, and a Fine Interpolation that was verified as granting a subpixel resolution. The algorithm was previously evaluated in terms of robustness with respect to SNR, and then applied to the recognition of postural strategies from real sequences during stabilometric trials. The obtained results confirm the validity of the method and thus favours the exploitation of Video Signal Processing for the determination of kinematics in biomechanical tasks.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
