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Exploiting Dissimilarity Representations for Person Re-Identification

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Riccardo Satta
Riccardo Satta

Extremely fast people re-identification using a dissimilarity-based approach

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Exploiting Dissimilarity Representations for Person Re-Identification Riccardo Satta, Giorgio Fumera, Fabio Roli Pattern Recognition and Applications Group Dept. of Electrical and Electronic Engineering University of Cagliari, Italy
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Problem formulation ,[object Object],[object Object],TEMPLATE QUERY SCORE (similarity) given a gallery set of templates T = { T 1 ,…, T n } , and a query Q , find the most similar template T * T with respect to a similarity measure D ( · , · ) : T * = arg min D( T i , Q ) T i Descriptor generation Descriptor matching Descriptor generation
An unifying view of the methods in literature ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Part subdivision in this example, upper and lower body Multiple components represented here as coloured dots
Person Re-Identification and dissimilarity representations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Person Re-Identification and dissimilarity representations ,[object Object],[object Object],[object Object],[object Object],[object Object]
A dissimilarity-based framework for Person Re-Identification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The MCM framework in short ,[object Object],[object Object],[object Object],[object Object],[object Object],An example in which the body is subdivided in two parts. Components are represented by coloured dots.
The Multiple Component Dissimilarity framework ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Multiple Component Dissimilarity framework ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Multiple Component Dissimilarity framework ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Multiple Component Dissimilarity framework ,[object Object],[object Object],[object Object],[object Object],[object Object],PROTOTYPES d 1,1 d 2,1 PROTOTYPES d 1,2 d 1,3 d 1,4 d 2,2 d 2,3
The Multiple Component Dissimilarity framework ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[d 1,1 , d 1,2 , d 1,3 , d 1,4 ] [d 2,1 , d 2,2 , d 2,3 ]
The Multiple Component Dissimilarity framework ,[object Object],[d 1,1 , d 1,2 , d 1,3 , d 1,4 ] [d 2,1 , d 2,2 , d 2,3 ] [d 1,1 , d 1,2 , d 1,3 , d 1,4 ] [d 2,1 , d 2,2 , d 2,3 ] [d 1,1 , d 1,2 , d 1,3 , d 1,4 ] [d 2,1 , d 2,2 , d 2,3 ] [d 1,1 , d 1,2 , d 1,3 , d 1,4 ] [d 2,1 , d 2,2 , d 2,3 ] TEMPLATES QUERY
The Multiple Component Dissimilarity framework ,[object Object],[object Object],[object Object],[object Object],[d 1,1 , d 1,2 , d 1,3 , d 1,4 ] [d 2,1 , d 2,2 , d 2,3 ] [d 1,1 , d 1,2 , d 1,3 , d 1,4 ] [d 2,1 , d 2,2 , d 2,3 ] TEMPLATE QUERY D part 1 D part 2 SIMILARITY = f ( D part 1 , D part 2 )
Experimental evaluation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Experimental evaluation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Experimental evaluation ,[object Object]
Further developments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank you ,[object Object]

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Exploiting Dissimilarity Representations for Person Re-Identification

  • 1. Exploiting Dissimilarity Representations for Person Re-Identification Riccardo Satta, Giorgio Fumera, Fabio Roli Pattern Recognition and Applications Group Dept. of Electrical and Electronic Engineering University of Cagliari, Italy
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