Emotion estimation in crowds: a survey
| Autor: | Lucio Marcenaro, Carlo S. Regazzoni, Oscar J. Urizar, Emilia I. Barakova, Matthias Rauterberg |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Estimation
Multimedia Computer science business.industry Scopus 020206 networking & telecommunications 02 engineering and technology English language computer.software_genre Data science Crowds Work (electrical) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business computer |
| Zdroj: | 8th International Conference of Pattern Recognition Systems (ICPRS 2017) |
| Popis: | Emotions play an important role in human behavior, even more so in large congregations of people where emotional states are prompt to be contaged and amplified. This work presents a qualitative systematic review of the literature concerning the estimation of emotions and affects in real-life crowded environments, covering the aspects of methods and datasets. The academic search engine Scopus was inquired and the search was limited to publications in the English language addressing any of the aforementioned aspects. The aim of this contribution is to highlight advances, limitation and trends in addressing the estimation of emotions in crowds. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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