REAL-TIME ADAPTIVE LEARNING SYSTEM USING OBJECT COLOR PROBABILITY FOR VIRTUAL REALITY APPLICATIONS

Chutisant Kerdvibulvech

2011

Abstract

Segmentation is not a trivial task, especially in challenging situations such as outdoor area. In this paper, we develop an adaptive learning system to segment an object robustly. By using the on-line adaptation of color probabilities, the proposed method presents several specific features: it is able to cope with illumination changes even in the outdoor area, and also it can be done in real-time. Bayes’ rule and Bayesian classifier is employed to calculate the probability of an object color. Representative experimental results are also presented and discussed. The system presented can be further used to develop the real-time game of augmented reality in virtual spaces.

References

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Paper Citation


in Harvard Style

Kerdvibulvech C. (2011). REAL-TIME ADAPTIVE LEARNING SYSTEM USING OBJECT COLOR PROBABILITY FOR VIRTUAL REALITY APPLICATIONS . In Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-8425-78-2, pages 200-204. DOI: 10.5220/0003622802000204


in Bibtex Style

@conference{simultech11,
author={Chutisant Kerdvibulvech},
title={REAL-TIME ADAPTIVE LEARNING SYSTEM USING OBJECT COLOR PROBABILITY FOR VIRTUAL REALITY APPLICATIONS},
booktitle={Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2011},
pages={200-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003622802000204},
isbn={978-989-8425-78-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - REAL-TIME ADAPTIVE LEARNING SYSTEM USING OBJECT COLOR PROBABILITY FOR VIRTUAL REALITY APPLICATIONS
SN - 978-989-8425-78-2
AU - Kerdvibulvech C.
PY - 2011
SP - 200
EP - 204
DO - 10.5220/0003622802000204