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- Detecting personality and emotion traits in crowds from video sequencesDetecting personality and emotion traits in crowds from video sequences
Detecting personality and emotion traits in crowds from video sequences
By
Favaretto, RM (Favaretto, Rodolfo Migon) ; Knob, P (Knob, Paulo) ; Musse, SR (Musse, Soraia Raupp) ; Vilanova, F (Vilanova, Felipe) ; Costa, AB (Costa, Angelo Brandelli) Author | Web of Science ResearcherID | ORCID Number |
---|---|---|
Musse, Soraia | AAS-3787-2021 | |
Favaretto, Rodolfo | P-1931-2019 | |
Vilanova, Felipe | Y-4861-2019 | |
Brandelli Costa, Angelo | E-6988-2015 | https://orcid.org/0000-0002-0742-8152 |
Migon Favaretto, Rodolfo | https://orcid.org/0000-0002-8940-7813 | |
Vilanova, Felipe | https://orcid.org/0000-0002-2516-9975 |
Source
MACHINE VISION AND APPLICATIONS
Publisher name
SPRINGERJCR Category | Category Rank | Category Quartile |
---|---|---|
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE in SCIE edition | 111/197 | Q3 |
COMPUTER SCIENCE, CYBERNETICS in SCIE edition | 14/32 | Q2 |
ENGINEERING, ELECTRICAL & ELECTRONIC in SCIE edition | 171/353 | Q2 |
JCI Category | Category Rank | Category Quartile |
---|---|---|
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE in SCIE edition | 112/198 | Q3 |
COMPUTER SCIENCE, CYBERNETICS in SCIE edition | 10/32 | Q2 |
ENGINEERING, ELECTRICAL & ELECTRONIC in SCIE edition | 169/355 | Q2 |
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Volume
30Issue
5Page
999-1012Special Issue
SIDOI
10.1007/s00138-018-0979-yPublished
JUL 2019Indexed
2019-08-02Document Type
ArticleAbstract
This paper presents a methodology to detect personality and basic emotion characteristics of crowds in video sequences. Firstly, individuals are detected and tracked, and then groups are recognized and characterized. Such information is then mapped to OCEAN dimensions, used to find out personality and emotion in videos, based on OCC emotion models. Although it is a clear challenge to validate our results with real life experiments, we evaluate our method with the available literature information regarding OCEAN values of different Countries and also emergent Personal distance among people. Hence, such analysis refer to cultural differences of each country too. Our results indicate that this model generates coherent information when compared to data provided in available literature, as shown in qualitative and quantitative results.
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ROR ID
https://ror.org/025vmq686Affiliation
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https://ror.org/025vmq686Categories/ Classification
Research Areas
Computer ScienceEngineeringCitation Topics
4 Electrical Engineering, Electronics & Computer ScienceSustainable Development Goals
11 Sustainable Cities and CommunitiesWeb of Science Categories
Computer Science, Artificial IntelligenceComputer Science, CyberneticsEngineering, Electrical & ElectronicLanguage
EnglishAccession Number
WOS:000474721100015ISSN
0932-8092eISSN
1432-1769IDS Number
IH7YRCitation Network
In Web of Science Core Collection
Cited References
Last 180 Days
Since 2013
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- Social Sciences Citation Index (SSCI)
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