A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
A family of new algorithms for soft filling
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Articulated motion reconstruction from feature points
Pattern Recognition
Analysis of Gait Using a Treadmill and a Time-of-Flight Camera
Dyn3D '09 Proceedings of the DAGM 2009 Workshop on Dynamic 3D Imaging
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Marker pixel detection is a low-level task used by video-based motion capture systems for motion analysis. This is a highly time-consuming task because there are usually a large number of frames to be processed in motion analysis applications. In this paper a novel method for determining marker pixels is proposed. The basic idea behind the proposed method is to reduce the repeated observations of pixels that have already been examined. The method is compared to two classic fill algorithms that are used for this purpose. The results indicate that the proposed method performs better for small circular markers used in this type of applications.