國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Emotion, personality and cultural as...

Brandelli Costa, Angelo.

Emotion, personality and cultural aspects in crowdstowards a geometrical mind /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Emotion, personality and cultural aspects in crowdsby Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa.
其他題名:	towards a geometrical mind /
作者:	Migon Favaretto, Rodolfo.
其他作者:	Raupp Musse, Soraia.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xiv, 178 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Human face recognition (Computer science)
電子資源:	https://doi.org/10.1007/978-3-030-22078-5
ISBN:	9783030220785$q(electronic bk.)

Emotion, personality and cultural aspects in crowdstowards 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. - Cham :Springer International Publishing :2019. - xiv, 178 p. :ill., digital ;24 cm.

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$q(electronic bk.)

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

257587
Human face recognition (Computer science)

LC Class. No.: TA1653 / .M54 2019

Dewey Class. No.: 006.4

Emotion, personality and cultural aspects in crowdstowards a geometrical mind /
LDR:03474nmm a2200337 a 4500 001 586716
003 DE-He213
005 20200630211602.0
006 m d
007 cr nn 008maaau
008 210326s2019 sz s 0 eng d
020 $a 9783030220785$q(electronic bk.)
020 $a 9783030220778$q(paper)
024 7 $a 10.1007/978-3-030-22078-5 $2 doi
035 $a 978-3-030-22078-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1653 $b .M54 2019
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 006.4 $2 23
090 $a TA1653 $b .M636 2019
100 1 $a Migon Favaretto, Rodolfo. $3 878263
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.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xiv, 178 p. : $b ill., digital ; $c 24 cm.
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 0 $a Human face recognition (Computer science) $3 257587
650 0 $a Computer vision. $3 200113
650 0 $a Collective behavior. $3 202020
650 0 $a Crowds. $3 861439
650 1 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a User Interfaces and Human Computer Interaction. $3 274517
650 2 4 $a Psychology Research. $3 509030
650 2 4 $a Simulation and Modeling. $3 273719
700 1 $a Raupp Musse, Soraia. $3 878264
700 1 $a Brandelli Costa, Angelo. $3 878265
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-22078-5
950 $a Computer Science (SpringerNature-11645)