ILRA: Novelty Detection in Face-Based Intervener Re-Identification

ILRA: Novelty Detection in Face-Based Intervener Re-Identification

Transparency laws facilitate citizens to monitor the activities of political representatives. In this sense, automatic or manual diarization of parliamentary sessions is required, the latter being time consuming. In the present work, this problem is addressed as a person re-identification problem. R...

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Bibliographic Details
Main Authors: Pedro A. Marín-Reyes, Itziar Irigoien, Basilio Sierra, Javier Lorenzo-Navarro, Modesto Castrillón-Santana, Concepción Arenas
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Symmetry
Subjects:
re-identification
open world scenario
novelty detection
one-class classification
ILR transformation
local descriptors
deep descriptor
Online Access:https://www.mdpi.com/2073-8994/11/9/1154

Internet

https://www.mdpi.com/2073-8994/11/9/1154

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