A TARGET TRACKING ALGORITHM BASED ON ADAPTIVE MULTIPLE FEATURE FUSION

Hongpeng Yin, Yi Chai, Simon X. Yang, David K. Y. Chiu

2009

Abstract

This paper presents an online adaptive multiple feature fusion and template update mechanism for kernel-based target tracking. According to the discrimination between the object and background, measured by two-class variance ratio, the multiple features are combined by linear weighting to realize kernel-based tracking. An adaptive model-updating mechanism based on the likelihood of the features between successive frames is addressed to alleviate the mode drifts. In this paper, RGB colour features, Prewitt edge feature and local binary pattern (LBP) texture feature are employed to implement the scheme. Experiments on several video sequences show the effectiveness of the proposed method.

Paper Citation

in Harvard Style

Yin H., Chai Y., Yang S. and Chiu D. (2009). A TARGET TRACKING ALGORITHM BASED ON ADAPTIVE MULTIPLE FEATURE FUSION . In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8111-99-9, pages 5-12. DOI: 10.5220/0002154300050012

in Bibtex Style

@conference{icinco09,
author={Hongpeng Yin and Yi Chai and Simon X. Yang and David K. Y. Chiu},
title={A TARGET TRACKING ALGORITHM BASED ON ADAPTIVE MULTIPLE FEATURE FUSION},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2009},
pages={5-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002154300050012},
isbn={978-989-8111-99-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - A TARGET TRACKING ALGORITHM BASED ON ADAPTIVE MULTIPLE FEATURE FUSION
SN - 978-989-8111-99-9
AU - Yin H.
AU - Chai Y.
AU - Yang S.
AU - Chiu D.
PY - 2009
SP - 5
EP - 12
DO - 10.5220/0002154300050012