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Probabilistic matching pair selection for SURF-based person re-identification

  • CNRS SAMOVAR UMR 5157

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

Résumé

The objective of this paper is to study the performance of human reidentification based on multi-shot SURF and to assess its degradation according to the angular difference between the test and reference video scene view angles. In this context, we propose a new automatic statistical method of acceptance and rejection of SURF correspondence based on the likelihood ratio of two GMMs learned on the reference set and modeling the distribution of distances resulting from matching sequences associated with the same person and with different persons respectively. The experimental results show that our approach compares favorably with the state of the art and achieves a good performance.

langue originaleAnglais
titreProceedings of the International Conference of the Biometrics Special Interest Group, BIOSIG 2012
étatPublié - 26 nov. 2012
Modification externeOui
Evénement2012 International Conference of the Biometrics Special Interest Group, BIOSIG 2012 - Darmstadt, Allemagne
Durée: 6 sept. 20127 sept. 2012

Série de publications

NomProceedings of the International Conference of the Biometrics Special Interest Group, BIOSIG 2012

Une conférence

Une conférence2012 International Conference of the Biometrics Special Interest Group, BIOSIG 2012
Pays/TerritoireAllemagne
La villeDarmstadt
période6/09/127/09/12

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