DocumentCode :
1834678
Title :
Human Motion Reconstruction Based on Multi-view Video
Author :
Qinkun Xiao ; Dan Luo ; Qinhan Xiao
Author_Institution :
Dept. of Electron. & Inf. Eng., Xi´an Technol. Univ., Xi´an, China
Volume :
2
fYear :
2013
fDate :
26-27 Aug. 2013
Firstpage :
23
Lastpage :
26
Abstract :
In this paper, the key technologies of human motion reconstruction based on multi-view video are discussed. A more robust motion reconstruction method with markers is presented, which includes camera calibration, markers extraction, markers tracking and 3D reconstruction. In the procedure of markers tracking, we propose a novel multi-view tracking algorithm. This algorithm is made up of two steps, one is binocular stereo vision tracking which combines the Extended Kalman Filter with the smooth of markers´ trajectory, and another is multi-view data fusion. The effectiveness of this method is verified by experiments.
Keywords :
Kalman filters; calibration; cameras; feature extraction; image motion analysis; image reconstruction; object tracking; sensor fusion; stereo image processing; video signal processing; 3D reconstruction; binocular stereo vision tracking; camera calibration; extended Kalman filter; human motion reconstruction; marker trajectory; markers extraction; markers tracking; multiview data fusion; multiview tracking algorithm; multiview video; Calibration; Cameras; Image color analysis; Image reconstruction; Stereo vision; Three-dimensional displays; Tracking; camera calibration; motion reconstruction; motion tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
Type :
conf
DOI :
10.1109/IHMSC.2013.153
Filename :
6642681
Link To Document :
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