Improving the discrimination capability with an adaptive synthetic discriminant function filter

J. Ángel González-Fraga; Víctor H. Díaz-Ramírez; Vitaly Kober; Josué Álvarez-Borrego

doi:10.1007/11492542_11

Improving the discrimination capability with an adaptive synthetic discriminant function filter

J. Ángel González-Fraga, Víctor H. Díaz-Ramírez, Vitaly Kober, Josué Álvarez-Borrego

Research output: Contribution to journal › Conference article › peer-review

7 Scopus citations

Abstract

In this paper a new adaptive correlation filter based on synthetic discriminant functions (SDF) for reliable pattern recognition is proposed. The information about an object to be recognized and false objects as well as background to be rejected is used in an iterative procedure to design the adaptive correlation filter with a given discrimination capability. Computer simulation results obtained with the proposed filter in test scenes are compared with those of various correlation filters in terms of discrimination capability.

Original language	English
Pages (from-to)	83-90
Number of pages	8
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3523
Issue number	II
DOIs	https://doi.org/10.1007/11492542_11
State	Published - 2005
Externally published	Yes
Event	Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005 - Estoril, Portugal Duration: 7 Jun 2005 → 9 Jun 2005

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10.1007/11492542_11

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González-Fraga, J. Á., Díaz-Ramírez, V. H., Kober, V., & Álvarez-Borrego, J. (2005). Improving the discrimination capability with an adaptive synthetic discriminant function filter. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3523(II), 83-90. https://doi.org/10.1007/11492542_11

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abstract = "In this paper a new adaptive correlation filter based on synthetic discriminant functions (SDF) for reliable pattern recognition is proposed. The information about an object to be recognized and false objects as well as background to be rejected is used in an iterative procedure to design the adaptive correlation filter with a given discrimination capability. Computer simulation results obtained with the proposed filter in test scenes are compared with those of various correlation filters in terms of discrimination capability.",

author = "Gonz{\'a}lez-Fraga, {J. {\'A}ngel} and D{\'i}az-Ram{\'i}rez, {V{\'i}ctor H.} and Vitaly Kober and Josu{\'e} {\'A}lvarez-Borrego",

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González-Fraga, JÁ, Díaz-Ramírez, VH, Kober, V & Álvarez-Borrego, J 2005, 'Improving the discrimination capability with an adaptive synthetic discriminant function filter', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3523, no. II, pp. 83-90. https://doi.org/10.1007/11492542_11

Improving the discrimination capability with an adaptive synthetic discriminant function filter. / González-Fraga, J. Ángel; Díaz-Ramírez, Víctor H.; Kober, Vitaly et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3523, No. II, 2005, p. 83-90.

Research output: Contribution to journal › Conference article › peer-review

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AU - Álvarez-Borrego, Josué

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AB - In this paper a new adaptive correlation filter based on synthetic discriminant functions (SDF) for reliable pattern recognition is proposed. The information about an object to be recognized and false objects as well as background to be rejected is used in an iterative procedure to design the adaptive correlation filter with a given discrimination capability. Computer simulation results obtained with the proposed filter in test scenes are compared with those of various correlation filters in terms of discrimination capability.

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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T2 - Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005

Y2 - 7 June 2005 through 9 June 2005

ER -

Improving the discrimination capability with an adaptive synthetic discriminant function filter

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