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

Jiang Bin Zheng, Bo Zhou, Xiu Xiu Li, Jian Yun Yan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication5th International Conference on Visual Information Engineering, VIE 2008
Pages52-55
Number of pages4
Edition543 CP
DOIs
StatePublished - 2008
Event5th International Conference on Visual Information Engineering, VIE 2008 - Xi'an, China
Duration: 29 Jul 20081 Aug 2008

Publication series

NameIET Conference Publications
Number543 CP

Conference

Conference5th International Conference on Visual Information Engineering, VIE 2008
Country/TerritoryChina
CityXi'an
Period29/07/081/08/08

Keywords

  • 3D stereo tracking
  • Kalman Filter
  • Multiple same markers

Fingerprint

Dive into the research topics of 'Multi-markers 3D tracking algorithm in a video motion capture system'. Together they form a unique fingerprint.

Cite this