Body part tracking of infants

TY - GEN

T1 - Body part tracking of infants

AU - Olsen, Mikkel Damgaard

AU - Herskind, Anna

AU - Nielsen, Jens Bo

AU - Paulsen, Rasmus Reinhold

N1 - Conference code: 22

PY - 2014/12/4

Y1 - 2014/12/4

N2 - Motion tracking is a widely used technique to analyze and measure adult human movement. However, these methods cannot be transferred directly to motion tracking of infants due to the big differences in the underlying human model. However, motion tracking of infants can be used for automatic analysis of infant development and might be able to tell something about possible motor disabilities such as cerebral palsy. In this paper, we address marker less 3D body part detection of infants using a widely available depth sensor and discuss some of the major challenges that arise. We present a method to detect and identify a set of the anatomical extremities and the results are evaluated based on manually annotated 3D positions.

AB - Motion tracking is a widely used technique to analyze and measure adult human movement. However, these methods cannot be transferred directly to motion tracking of infants due to the big differences in the underlying human model. However, motion tracking of infants can be used for automatic analysis of infant development and might be able to tell something about possible motor disabilities such as cerebral palsy. In this paper, we address marker less 3D body part detection of infants using a widely available depth sensor and discuss some of the major challenges that arise. We present a method to detect and identify a set of the anatomical extremities and the results are evaluated based on manually annotated 3D positions.

U2 - 10.1109/ICPR.2014.377

DO - 10.1109/ICPR.2014.377

M3 - Article in proceedings

SP - 2167

EP - 2172

BT - 2014 22nd International Conference on Pattern Recognition (ICPR)

PB - IEEE

T2 - 22nd International Conference on Pattern Recognition

Y2 - 24 August 2014 through 28 August 2014

ER -