Titlebook: Emotion, Personality and Cultural Aspects in Crowds; Towards a Geometrica Rodolfo Migon Favaretto,Soraia Raupp Musse,Angelo Book 2019 Spri

Prologue

Outlaw Bikers and Ancient Warbands . dimension. Firstly, individuals are detected and tracked, and then such information is mapped to OCEAN dimensions, used to find out personality and emotion in videos, based on OCC emotion model. Section 7.1 presents the proposed approach to extract data from pedestrians in the video. Section 7.2

Osteoporosis

Organized Crime and Outlaw Motorcycle Gangs, software of the mind, vol 2. London: McGraw-Hill, London 1991). In our model, the Hofstede Cultural Dimensions (presented in Sect. 3.2) is related to the . geometrical dimension. In order to successfully map the characteristics of pedestrians and groups in cultural aspects, we considered some infor

阻礙

Linear Models for Outlier Detection,ent countries, India, Brazil, and Germany, in a controlled experiment. In this evaluation, due to the performed experiment, i.e., only one group at each time executing the same task, we analyzed only individuals and not more than one group in each video, the reason why the . dimension (HCD) was not

錯事

An Introduction to Outlier Ensembles,les with tracking, pedestrian, and crowd features and geometric dimensions information. In addition, we have developed software for the detection and analysis of geometric dimensions in videos, along with a visualizer of features. Section 10.1 presents the . dataset, a database of videos with crowds

Polydipsia

斗志

兇兆

Outlook Outside the Office (or Home),ultures, and society itself (Forsyth, Group dynamics. Cengage Learning, Boston, 2018). In this sense, in the present book, we investigate pedestrian and crowd characteristics, regarding personalities, emotions, and cultural aspects. The main goal of this research was to propose a model that could de

modest

Rodolfo Migon Favaretto,Soraia Raupp Musse,Angelo Presents a very innovative investigation regarding personal, emotional and cultural aspects of pedestrians from video sequences.Contains relevant analysis including comparison of spontaneous and contr

Debark

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Allowance

978-3-030-22080-8Springer Nature Switzerland AG 2019