A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf
.
Tracking of Human Body Parts using the Multiocular Contracting Curve Density Algorithm
2007
3-D Digital Imaging and Modeling
In this contribution we introduce the Multiocular Contracting Curve Density algorithm (MOCCD), a novel method for fitting a 3D parametric curve. The MOCCD is integrated into a tracking system and its suitability for tracking human body parts in 3D in front of cluttered background is examined. The developed system can be applied to a variety of body parts, as the object model is replaceable in a simple manner. Based on the example of tracking the human hand-forearm limb it is shown that the use
doi:10.1109/3dim.2007.59
dblp:conf/3dim/HahnKWG07
fatcat:7uhor4etqfc5dc5p6boeazulx4