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.
Author(s): Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa
Publisher: Springer International Publishing
Year: 2019
Language: English
Pages: 179
Front Matter ....Pages i-xiv
Introduction (Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa)....Pages 1-9
Front Matter ....Pages 11-11
Crowds and Groups of People (Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa)....Pages 13-22
Emotion, Personality, and Cultural Aspects in Crowds (Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa)....Pages 23-33
A State-of-the-Art Review (Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa)....Pages 35-46
Front Matter ....Pages 47-47
Tracking and Data Extraction (Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa)....Pages 49-54
Video Similarity and Crowd Types (Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa)....Pages 55-67
Front Matter ....Pages 69-69
Detecting Personality and Emotion Traits (Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa)....Pages 71-92
Detecting Hofstede Cultural Dimensions (Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa)....Pages 93-103
Fundamental Diagram Analysis (Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa)....Pages 105-123
Front Matter ....Pages 125-125
Video Analysis Dataset and Applications (Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa)....Pages 127-139
Simulating Personality and Cultural Aspects in Crowds (Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa)....Pages 141-158
Generating NPCs Motion Based on Crowd Videos (Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa)....Pages 159-172
Final Remarks (Rodolfo Migon Favaretto, Soraia Raupp Musse, Angelo Brandelli Costa)....Pages 173-175
Back Matter ....Pages 177-178
