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Emotion, Personality and Cultural Aspects in Crowds

Towards a Geometrical Mind

  • Rodolfo Migon Favaretto
  • Soraia Raupp Musse
  • Angelo Brandelli Costa

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
    Pages 1-9
  3. Background Overview

    1. Front Matter
      Pages 11-11
    2. Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
      Pages 13-22
    3. Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
      Pages 23-33
    4. Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
      Pages 35-46
  4. Data Extraction, Crowd Types, and Video Similarity

    1. Front Matter
      Pages 47-47
    2. Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
      Pages 49-54
    3. Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
      Pages 55-67
  5. Emotion, Personality and Cultural Aspects Analysis

    1. Front Matter
      Pages 69-69
    2. Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
      Pages 71-92
    3. Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
      Pages 93-103
    4. Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
      Pages 105-123
  6. Dataset, Software, and Computer Simulation Applications

    1. Front Matter
      Pages 125-125
    2. Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
      Pages 127-139
    3. Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
      Pages 141-158
    4. Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
      Pages 159-172
    5. Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
      Pages 173-175
  7. Back Matter
    Pages 177-178

About this book

Introduction

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.

Keywords

Crowd Analysis Cultural differences Group behaviours Personality and emotional traits Crowd simulations

Authors and affiliations

  • Rodolfo Migon Favaretto
    • 1
  • Soraia Raupp Musse
    • 2
  • Angelo Brandelli Costa
    • 3
  1. 1.School of TechnologyPontifical Catholic University of Rio Grande do SulPorto AlegreBrazil
  2. 2.School of TechnologyPontifical Catholic University of Rio Grande do SulPorto AlegreBrazil
  3. 3.Psychology Graduate ProgramPontifical Catholic University of Rio Grande do SulPorto AlegreBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-22078-5
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-22077-8
  • Online ISBN 978-3-030-22078-5
  • Buy this book on publisher's site