By Topic

Multi-markers 3D tracking algorithm in a video motion capture system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Zheng, Jiang-bin ; School of Computer, Northwestern Ploytechnical University, Xi??an Shanxi 710072, China ; Zhou Bo, ; Li, Xiu-xiu ; Yan Jian-yun,

In a video motion capture system based on multi-markers, it is difficult to match and track these markers because their image features are quiet similar. This paper proposes a novel 3D tracking algorithm to track markers with similar image features. Several extended Kalman filters are used to predict each marker’s 2D image coordination and 3D position. The 3D stereo matching method and epipolar geometry restriction are combined to eliminate the incorrect matching points and solve the occlusion in the procedure of stereo tracking. Experimental results demonstrate that the proposed algorithm can track multiple markers with similar image features exactly in binocular stereo vision.

Published in:

Visual Information Engineering, 2008. VIE 2008. 5th International Conference on

Date of Conference:

July 29 2008-Aug. 1 2008