Multiple 3D object tracking using ROI and double filtering for augmented reality

Jin Hyung Park; Dong Hwan Seo; Min Seok Ku; In Yong Jung; Chang Sung Jeong

doi:10.1109/MUE.2011.64

Multiple 3D object tracking using ROI and double filtering for augmented reality

Jin Hyung Park, Dong Hwan Seo, Min Seok Ku, In Yong Jung, Chang Sung Jeong

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

We present a new method to track multiple 3D object that is robust and real-time processing. Also, fast object registration is available. Many augmented applications need to track 3D object using natural features in real-time, more accuracy, and registering or learning object immediately. But existing algorithm uses FERN for feature extraction algorithm that takes several minutes to register target object, because of its high accuracy performance. Our method provides not only fast registering time about 0.3ms but also high accuracy. This features accomplished by SURF for feature extraction algorithm, ROI and double robust filtering. Using our methods, multiple 3D object tracking with fast and high accuracy is available.

Original language	English
Title of host publication	Proceedings of the 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011
Pages	317-322
Number of pages	6
DOIs	https://doi.org/10.1109/MUE.2011.64
Publication status	Published - 2011
Event	2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011 - Loutraki, Greece Duration: 2011 Jun 28 → 2011 Jun 30

Publication series

Name	Proceedings of the 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011

Other

Other	2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011
Country/Territory	Greece
City	Loutraki
Period	11/6/28 → 11/6/30

Keywords

Augmented reality
Pose estimation

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition

Access to Document

10.1109/MUE.2011.64

Cite this

Park, J. H., Seo, D. H., Ku, M. S., Jung, I. Y., & Jeong, C. S. (2011). Multiple 3D object tracking using ROI and double filtering for augmented reality. In Proceedings of the 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011 (pp. 317-322). Article 5992219 (Proceedings of the 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011). https://doi.org/10.1109/MUE.2011.64

Multiple 3D object tracking using ROI and double filtering for augmented reality. / Park, Jin Hyung; Seo, Dong Hwan; Ku, Min Seok et al.
Proceedings of the 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011. 2011. p. 317-322 5992219 (Proceedings of the 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Park, JH, Seo, DH, Ku, MS, Jung, IY & Jeong, CS 2011, Multiple 3D object tracking using ROI and double filtering for augmented reality. in Proceedings of the 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011., 5992219, Proceedings of the 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011, pp. 317-322, 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011, Loutraki, Greece, 11/6/28. https://doi.org/10.1109/MUE.2011.64

Park JH, Seo DH, Ku MS, Jung IY, Jeong CS. Multiple 3D object tracking using ROI and double filtering for augmented reality. In Proceedings of the 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011. 2011. p. 317-322. 5992219. (Proceedings of the 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011). doi: 10.1109/MUE.2011.64

Park, Jin Hyung ; Seo, Dong Hwan ; Ku, Min Seok et al. / Multiple 3D object tracking using ROI and double filtering for augmented reality. Proceedings of the 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011. 2011. pp. 317-322 (Proceedings of the 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011).

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abstract = "We present a new method to track multiple 3D object that is robust and real-time processing. Also, fast object registration is available. Many augmented applications need to track 3D object using natural features in real-time, more accuracy, and registering or learning object immediately. But existing algorithm uses FERN for feature extraction algorithm that takes several minutes to register target object, because of its high accuracy performance. Our method provides not only fast registering time about 0.3ms but also high accuracy. This features accomplished by SURF for feature extraction algorithm, ROI and double robust filtering. Using our methods, multiple 3D object tracking with fast and high accuracy is available.",

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Multiple 3D object tracking using ROI and double filtering for augmented reality

Abstract

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Keywords

ASJC Scopus subject areas

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