國立虎尾科技大學 |

Emotion, Personality and Cultural Aspects in Crowds = Towards a Geometrical Mind /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Emotion, Personality and Cultural Aspects in Crowds/ by Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa.
Reminder of title:	Towards a Geometrical Mind /
Author:	Migon Favaretto, Rodolfo.
other author:	Raupp Musse, Soraia.
Description:	XIV, 178 p. 98 illus., 68 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Psychology Research. -
Online resource:	https://doi.org/10.1007/978-3-030-22078-5
ISBN:	9783030220785

Emotion, Personality and Cultural Aspects in Crowds = Towards a Geometrical Mind /
Migon Favaretto, Rodolfo.

Emotion, Personality and Cultural Aspects in CrowdsTowards a Geometrical Mind /[electronic resource] :by Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa. - 1st ed. 2019. - XIV, 178 p. 98 illus., 68 illus. in color.online resource.

Introduction -- Part 1: Background Overview -- Crowds and Groups of People -- Emotion, Personality and Cultural Aspects in Crowds -- A State-of-the-Art Review -- Part II: Data Extraction, Crowd Types and Video Similarity -- Tracking and Data Extraction -- Video Similarity and Crowd Types -- Part III: Emotion, Personality and Cultural Aspects Analysis -- Detecting Personality and Emotion Traits -- Detecting Hofstede Cultural Dimensions -- Fundamental Diagram Analysis -- Part IV: Dataset, Software and Computer Simulation Applications -- Video Analysis Dataset and Applications -- Simulating Personality and Cultural Aspects in Crowds -- Generating NPCs Motion Based on Crowd Videos -- .

This practically-focused book presents a computational model for detection and analysis of pedestrian features in crowds from video sequences. The study of human behavior is a subject of great scientific interest and probably an inexhaustible source of research. The analysis of pedestrians and groups in crowds is relevant in several areas of application, such as security, entertainment, environmental and public spaces planning and social sciences. Cultural and personality aspects are attributes that can influence personal behavior and affect the group in which individuals belong. In this sense, we consider different ways of characterizing individuals and groups in crowds with respect to their relationship with the geometrical space and time. We discuss and describe an approach to extract and analyse, from the Computer Science point of view, emotions, personalities and cultural aspects from crowds and groups of pedestrians, using Computer Vision techniques. Extracting characteristics from real pedestrians and crowds, benefits other areas, such as: architecture and design (planning spaces to maximize pedestrian and group-environment fit); security and surveillance (design of evacuation plans considering characteristics of the crowds and detection of abnormal events); entertainment (more realistic crowds in movies and games reproducing characteristics from real pedestrians and crowds); social sciences (understanding of human behavior), among others. A big challenge in this area of research is the comparison with real life data. In this book, we successfully compared the results of the proposed approach with Psychology literature, where several studies aimed to analysis human behavior.

ISBN: 9783030220785

Standard No.: 10.1007/978-3-030-22078-5doiSubjects--Topical Terms:

782009
Psychology Research.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

Emotion, Personality and Cultural Aspects in Crowds = Towards a Geometrical Mind /
LDR:03879nam a22004215i 4500 001 1006580
003 DE-He213
005 20200630211602.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030220785 $9 978-3-030-22078-5
024 7 $a 10.1007/978-3-030-22078-5 $2 doi
035 $a 978-3-030-22078-5
050 4 $a TA1630-1650
072 7 $a UYT $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYT $2 thema
072 7 $a UYQV $2 thema
082 0 4 $a 006.6 $2 23
082 0 4 $a 006.37 $2 23
100 1 $a Migon Favaretto, Rodolfo. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1300158
245 1 0 $a Emotion, Personality and Cultural Aspects in Crowds $h [electronic resource] : $b Towards a Geometrical Mind / $c by Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XIV, 178 p. 98 illus., 68 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Introduction -- Part 1: Background Overview -- Crowds and Groups of People -- Emotion, Personality and Cultural Aspects in Crowds -- A State-of-the-Art Review -- Part II: Data Extraction, Crowd Types and Video Similarity -- Tracking and Data Extraction -- Video Similarity and Crowd Types -- Part III: Emotion, Personality and Cultural Aspects Analysis -- Detecting Personality and Emotion Traits -- Detecting Hofstede Cultural Dimensions -- Fundamental Diagram Analysis -- Part IV: Dataset, Software and Computer Simulation Applications -- Video Analysis Dataset and Applications -- Simulating Personality and Cultural Aspects in Crowds -- Generating NPCs Motion Based on Crowd Videos -- .
520 $a This practically-focused book presents a computational model for detection and analysis of pedestrian features in crowds from video sequences. The study of human behavior is a subject of great scientific interest and probably an inexhaustible source of research. The analysis of pedestrians and groups in crowds is relevant in several areas of application, such as security, entertainment, environmental and public spaces planning and social sciences. Cultural and personality aspects are attributes that can influence personal behavior and affect the group in which individuals belong. In this sense, we consider different ways of characterizing individuals and groups in crowds with respect to their relationship with the geometrical space and time. We discuss and describe an approach to extract and analyse, from the Computer Science point of view, emotions, personalities and cultural aspects from crowds and groups of pedestrians, using Computer Vision techniques. Extracting characteristics from real pedestrians and crowds, benefits other areas, such as: architecture and design (planning spaces to maximize pedestrian and group-environment fit); security and surveillance (design of evacuation plans considering characteristics of the crowds and detection of abnormal events); entertainment (more realistic crowds in movies and games reproducing characteristics from real pedestrians and crowds); social sciences (understanding of human behavior), among others. A big challenge in this area of research is the comparison with real life data. In this book, we successfully compared the results of the proposed approach with Psychology literature, where several studies aimed to analysis human behavior.
650 2 4 $a Psychology Research. $3 782009
650 0 $a Optical data processing. $3 639187
650 0 $a User interfaces (Computer systems). $3 1253526
650 0 $a Experiential research. $3 815824
650 0 $a Computer simulation. $3 560190
650 1 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a User Interfaces and Human Computer Interaction. $3 669793
650 2 4 $a Simulation and Modeling. $3 669249
700 1 $a Raupp Musse, Soraia. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1300159
700 1 $a Brandelli Costa, Angelo. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1300160
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030220778
776 0 8 $i Printed edition: $z 9783030220792
776 0 8 $i Printed edition: $z 9783030220808
856 4 0 $u https://doi.org/10.1007/978-3-030-22078-5
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)