Recognition of Multiple Objects with Adaptive Correlation Filters

Marco I. Pinedo-García, Victor H. Diaz-Ramirez, Vitaly Kober

2007

Abstract

A new method for reliable optical pattern recognition of multiple objects in a cluttered background and consequent classification of the detected objects is proposed. The method is based on an adaptive composite correlation filter. The filter is designed with the help of an iterative algorithm exploiting a modified version of synthetic discriminant function filter. The impulse response of the filter contains information needed to localize and classify objects belonging different classes. Computer simulation results obtained with the proposed method are compared with those of known correlation based techniques in terms of performance criteria for recognition and classification of objects.

References

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Paper Citation


in Harvard Style

I. Pinedo-García M., H. Diaz-Ramirez V. and Kober V. (2007). Recognition of Multiple Objects with Adaptive Correlation Filters . In Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007) ISBN 978-972-8865-93-1, pages 199-206. DOI: 10.5220/0002423201990206


in Bibtex Style

@conference{pris07,
author={Marco I. Pinedo-García and Victor H. Diaz-Ramirez and Vitaly Kober},
title={Recognition of Multiple Objects with Adaptive Correlation Filters},
booktitle={Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007)},
year={2007},
pages={199-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002423201990206},
isbn={978-972-8865-93-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007)
TI - Recognition of Multiple Objects with Adaptive Correlation Filters
SN - 978-972-8865-93-1
AU - I. Pinedo-García M.
AU - H. Diaz-Ramirez V.
AU - Kober V.
PY - 2007
SP - 199
EP - 206
DO - 10.5220/0002423201990206