Emotion estimation in crowds: the interplay of motivations and expectations in individual emotions

Oscar J. Urizar, Emilia I. Barakova, Lucio Marcenaro, Carlo S. Regazzoni, Matthias Rauterberg

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Providing an estimation of the emotional states of individuals increases the insights on the state of a crowd beyond simple normal/abnormal situations or behaviour classification. Methods intended for identifying emotions in individuals are mainly based on facial and body expressions, or even physiological measurements which are not suited for crowded environments as the available information in crowds is usually limited to that provided by surveillance cameras where the face and body of pedestrians can often suffer from occlusion. This work proposes an approach for analysing walking behaviour and exploiting the interplay of motivations and expectations in the emotions of pedestrians. Real-world data is used to test the prediction of motivations and annotations on the emotional state of pedestrians are added to evaluate the proposed method's capability to estimate emotional states. The conducted experiments show significant improvements over previous methods for estimating motivations and consistent results to the estimation of emotions.

Originele taal-2Engels
Titel2018 26th European Signal Processing Conference, EUSIPCO 2018
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1092-1096
Aantal pagina's5
ISBN van elektronische versie978-9-0827-9701-5
ISBN van geprinte versie978-1-5386-3736-4
DOI's
StatusGepubliceerd - 29 nov 2018
Evenement26th European Signal Processing Conference, EUSIPCO 2018 - Rome, Italië
Duur: 3 sep 20187 sep 2018

Congres

Congres26th European Signal Processing Conference, EUSIPCO 2018
Verkorte titelEUSIPCO 2018
LandItalië
StadRome
Periode3/09/187/09/18

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