Title :
Automatic Gait Motion Capture with Missing-Marker Fillings
Author :
Xiaoming Deng ; Shihong Xia ; Wenzhong Wang ; Zhaoqi Wang ; Liang Chang ; Hongan Wang
Author_Institution :
Beijing Key Lab. of Human-Comput. Interaction, Inst. of Software, Beijing, China
Abstract :
Although marker-based optical motion capture has been a useful method for computer animation during the past decades, automatic and robust motion tracking from multiple video sequences is still very challenging. Several critical issues in practical implementations are not adequately addressed. For example, how to track and identify the reconstructed 3D points after image matching process? How to handle the heavy occlusion problem? This paper gives a careful investigation of the above issues. In particular, we propose a novel way to track and identify proper markers, and a new method of filling missing markers by taking account of the human model constraints. Experiments are presented to show its accuracy and robustness.
Keywords :
gait analysis; image capture; image matching; image reconstruction; motion estimation; object tracking; automatic gait motion capture; heavy occlusion problem; human model constraints; image matching process; marker-based optical motion capture; missing-marker fillings; motion tracking; reconstructed 3D point identification; reconstructed 3D point tracking; video sequences; Cameras; Filling; Image reconstruction; Labeling; Motion segmentation; Three-dimensional displays; Tracking; gait analysis; motion capture; visual tracking;
Conference_Titel :
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location :
Stockholm
DOI :
10.1109/ICPR.2014.433