A visual tracking strategy using computer graphics and edge

Chuantao Zang, Koichi Hashimoto, Jungjae Moon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper we have proposed a visual tracking strategy for 3D object recognition and tracking in robot vision applications. We adopt a Coarse-to-Fine combination strategy for 3D object tracking. In the coarse step, compared with those edge-based only methods, the convergence range of initial camera pose estimation has been enlarged in our system by a template-based matching between a series of template images rendered from Computer Graphics (CG) and a current image. In the fine step an edge-based object tracking method is used to realize a more accurate visual tracking application with the results from the previous coarse step. The implementation of this strategy is introduced in detail. The experiments results show that this combination strategy is effective for tracking real objects in robot vision applications.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
Pages981-986
Number of pages6
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 - Phuket, Thailand
Duration: 2011 Dec 72011 Dec 11

Publication series

Name2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

Other

Other2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
CountryThailand
CityPhuket
Period11/12/711/12/11

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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