Overview
- Presents a very innovative investigation regarding personal, emotional and cultural aspects of pedestrians from video sequences
- Contains relevant analysis including comparison of spontaneous and controlled experiments involving crowds from several countries
- Offers step-by-step procedures for the mapping of geometrical and physical features into personalities, emotions and cultural aspects
- Contains supplementary material on detection and analysis of geometrical characteristics of pedestrians from video sequences using the software GeoMind
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About this book
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.
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Keywords
Table of contents (13 chapters)
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Front Matter
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Background Overview
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Front Matter
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Data Extraction, Crowd Types, and Video Similarity
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Front Matter
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Emotion, Personality and Cultural Aspects Analysis
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Front Matter
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Dataset, Software, and Computer Simulation Applications
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Emotion, Personality and Cultural Aspects in Crowds
Book Subtitle: Towards a Geometrical Mind
Authors: Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
DOI: https://doi.org/10.1007/978-3-030-22078-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-22077-8Published: 20 September 2019
Softcover ISBN: 978-3-030-22080-8Published: 20 September 2020
eBook ISBN: 978-3-030-22078-5Published: 29 August 2019
Edition Number: 1
Number of Pages: XIV, 178
Number of Illustrations: 30 b/w illustrations, 68 illustrations in colour
Topics: Image Processing and Computer Vision, User Interfaces and Human Computer Interaction, Psychology Research, Simulation and Modeling