DocumentCode
178155
Title
Body Part Tracking of Infants
Author
Olsen, M.D. ; Herskindt, A. ; Nielsen, J.B. ; Paulsen, R.R.
Author_Institution
Dept. of Appl. Math. & Comput. Sci., Tech. Univ. of Denmark, Lyngby, Denmark
fYear
2014
fDate
24-28 Aug. 2014
Firstpage
2167
Lastpage
2172
Abstract
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.
Keywords
image sensors; motion estimation; motion measurement; object tracking; adult human movement analysis; adult human movement measurement; cerebral palsy; depth sensor; human model; infant body part tracking; manually annotated 3D positions; markerless 3D infant body part detection; motion tracking; motor disabilities; Extremities; Joints; Optical imaging; Optical sensors; Three-dimensional displays; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location
Stockholm
ISSN
1051-4651
Type
conf
DOI
10.1109/ICPR.2014.377
Filename
6977089
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