Person re-identification by siamese network

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<dc:creator>Newlin Shebiah, R.</dc:creator>
<dc:date>2023</dc:date>
<dc:description xml:lang="es">Sumario: This paper proposes the use of a Siamese network, which is a neural architecture that takes a pair of images or videos as input and predicts the similarity or dissimilarity of a person across two cameras. The output includes the prediction of similar and dissimilar persons along with their prediction scores. The proposed method was evaluated using iLIDS-VID and PRID 2011 datasets, and achieved recognition accuracy of 79.52% and 85.82%, respectively. These results demonstrate the effectiveness of the Siamese network for person re-identification tasks. Overall, this study contributes to the ongoing research on improving the accuracy of person re-identification across multiple cameras in surveillance videos</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/182988.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Predicciones</dc:subject>
<dc:subject xml:lang="es">Métodos analíticos</dc:subject>
<dc:subject xml:lang="es">Sistemas de Vigilancia</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Person re-identification by siamese network </dc:title>
<dc:relation xml:lang="es">En: Revista Iberoamericana de Inteligencia Artificial. -  : IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018- = ISSN 1988-3064. - 13/03/2023 Volumen 26 Número 71 - marzo 2023 , pp. 25-33</dc:relation>
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