Title :
Abnormal Markers Detection in Motion Capture System Based on the Revised L^2 Depth
Author :
Wang, Jun ; Han, Chongzhao ; Hu, Yonggang ; Zhou, Xiaoming
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
Abstract :
In this paper, we present a method based on the revised L2 depth to detect the abnormal markers in the motion capture system. Firstly, we propose the definition of the revised L2 depth, and the algorithm of the depth is also presented. Secondly, the algorithm of detection using the derivatives of the markers´ trajectories is discussed. The results in the experiment shows the validity of the method.
Keywords :
path planning; virtual reality; abnormal markers detection; marker trajectory; motion capture system; revised L2 depth; Electronic mail; Mathematics; Robustness; Sternum; Three dimensional displays; Trajectory; Virtual reality; abnormal detection; abnormal markers; motion capture system; virtual reality;
Conference_Titel :
Digital Media and Digital Content Management (DMDCM), 2011 Workshop on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-0271-6
Electronic_ISBN :
978-0-7695-4413-7
DOI :
10.1109/DMDCM.2011.39
