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

Mohamed Ibn Khedher, Mounim A. El-Yacoubi, Bernadette Dorizzi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the International Conference of the Biometrics Special Interest Group, BIOSIG 2012
Publication statusPublished - 26 Nov 2012
Externally publishedYes
Event2012 International Conference of the Biometrics Special Interest Group, BIOSIG 2012 - Darmstadt, Germany
Duration: 6 Sept 20127 Sept 2012

Publication series

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

Conference

Conference2012 International Conference of the Biometrics Special Interest Group, BIOSIG 2012
Country/TerritoryGermany
CityDarmstadt
Period6/09/127/09/12

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