Person re-identification by siamese network
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| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000cab a2200000 4500 | ||
| 001 | MAP20230009932 | ||
| 003 | MAP | ||
| 005 | 20231214131729.0 | ||
| 008 | 230519e2023 esp|||p |0|||b|eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a922.134 | ||
| 245 | 0 | 0 | $aPerson re-identification by siamese network $cNewlin Shebiah R...[et al.] |
| 520 | $aThis 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 | ||
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20080563790$aPredicciones | |
| 650 | 4 | $0MAPA20080586331$aMétodos analíticos | |
| 650 | 4 | $0MAPA20080608712$aSistemas de Vigilancia | |
| 700 | 1 | $0MAPA20230004043$aNewlin Shebiah, R. | |
| 773 | 0 | $wMAP20200034445$g13/03/2023 Volumen 26 Número 71 - marzo 2023 , pp. 25-33$x1988-3064$tRevista Iberoamericana de Inteligencia Artificial$d : IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018- | |
| 856 | 0 | 0 | $yMÁS INFORMACIÓN$u mailto:centrodocumentacion@fundacionmapfre.org?subject=Consulta%20de%20una%20publicaci%C3%B3n%20&body=Necesito%20m%C3%A1s%20informaci%C3%B3n%20sobre%20este%20documento%3A%20%0A%0A%5Banote%20aqu%C3%AD%20el%20titulo%20completo%20del%20documento%20del%20que%20desea%20informaci%C3%B3n%20y%20nos%20pondremos%20en%20contacto%20con%20usted%5D%20%0A%0AGracias%20%0A |