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
Link To Document :
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