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

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

7 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Páginas (desde-hasta)	83-90
Número de páginas	8
Publicación	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	3523
N.º	II
DOI	https://doi.org/10.1007/11492542_11
Estado	Publicada - 2005
Publicado de forma externa	Sí
Evento	Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005 - Estoril, Portugal Duración: 7 jun. 2005 → 9 jun. 2005

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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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note = "Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005 ; Conference date: 07-06-2005 Through 09-06-2005",

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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, n.º 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.
En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3523, N.º II, 2005, p. 83-90.

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

TY - JOUR

T1 - Improving the discrimination capability with an adaptive synthetic discriminant function filter

AU - González-Fraga, J. Ángel

AU - Díaz-Ramírez, Víctor H.

AU - Kober, Vitaly

AU - Álvarez-Borrego, Josué

PY - 2005

Y1 - 2005

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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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M3 - Artículo de la conferencia

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SN - 0302-9743

VL - 3523

SP - 83

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

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

IS - II

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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