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Authors: Iñigo Barandiaran 1 ; Charlotte Cottez 1 ; Céline Paloc 1 and Manuel Graña 2

Affiliations: 1 VICOMTech, Spain ; 2 University of Basque Country Computer Science School, Spain

Keyword(s): Augmented Reality, Optical Tracking, Tracking by detection.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Matching Correspondence and Flow ; Methodologies and Methods ; Model-Based Object Tracking in Image Sequences ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems

Abstract: Augmented reality (AR) is a very promising technology that can be applied in many areas such as healthcare, broadcasting or manufacturing industries. One of the bottlenecks of such application is a robust real-time optical markerless tracking strategy. In this paper we focus on the development of tracking by detection for plane homography estimation. Feature or keypoint matching is a critical task in such approach. We propose to apply machine learning techniques to solve this problem. We present an evaluation of an optical tracking implementation based on Random Forest classifier. The implementation has been successfully applied to indoor and outdoor augmented reality design review application.

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Paper citation in several formats:
Barandiaran, I.; Cottez, C.; Paloc, C. and Graña, M. (2008). RANDOM FOREST CLASSIFIERS FOR REAL-TIME OPTICAL MARKERLESS TRACKING. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 559-564. DOI: 10.5220/0001086405590564

@conference{visapp08,
author={Iñigo Barandiaran. and Charlotte Cottez. and Céline Paloc. and Manuel Graña.},
title={RANDOM FOREST CLASSIFIERS FOR REAL-TIME OPTICAL MARKERLESS TRACKING},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={559-564},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001086405590564},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - RANDOM FOREST CLASSIFIERS FOR REAL-TIME OPTICAL MARKERLESS TRACKING
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Barandiaran, I.
AU - Cottez, C.
AU - Paloc, C.
AU - Graña, M.
PY - 2008
SP - 559
EP - 564
DO - 10.5220/0001086405590564
PB - SciTePress

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