Visualization of Interactions in Crowd Simulation and Video Sequences

Knob, Paulo; Araujo, Victor Flavio de Andrade; Favaretto, Rodolfo Migon; Musse, Soraia Raupp

doi:10.1109/sbgames.2018.00037

Cited by 8 publications

(6 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This section discusses some work related to pedestrian and crowd behavioral analysis, focusing on personality traits, emotion, and perception. Knob et al [26] presented work related to visualizing interactions between pedestrians in video sequences and virtual agents in crowd simulations. OCEANbased factors gave interactions for each pedestrian and agent.…”

Section: Related Workmentioning

confidence: 99%

Perception of Personality Traits in Crowds of Virtual Humans

Nardino

Schaffer

Elsner

et al. 2021

2021 20th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)

View full text Add to dashboard Cite

This paper proposes a perceptual visual analysis regarding the personality of virtual humans. Many studies have presented findings regarding the way human beings perceive virtual humans with respect to their faces, body animation, motion in the virtual environment and etc. We are interested in investigating the way people perceive visual manifestations of virtual humans' personality traits when they are interactive and organized in groups. Many applications in games and movies can benefit from the findings regarding the perceptual analysis with the main goal to provide more realistic characters and improve the users' experience. We provide experiments with subjects and obtained results indicate that, although is very subtle, people perceive more the extraversion (the personality trait that we measured), into the crowds of virtual humans, when interacting with virtual humans behaviors, than when just observing as a spectator camera.

show abstract

Section: Related Workmentioning

confidence: 99%

Perception of Personality Traits in Crowds of Virtual Humans

Nardino

Schaffer

Elsner

et al. 2021

2021 20th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)

View full text Add to dashboard Cite

show abstract

“…This section discusses some work related to pedestrian and crowds behavioral analysis focusing on personality traits, emotion and perception.Knob et al [5] presented a work related to visualizations of interactions between pedestrians in video sequences and virtual agents in crowd simulations. Interactions are given by factors based on the OCEAN of each pedestrian and agent.…”

Section: Related Workmentioning

confidence: 99%

“…Due to its importance in many applications, the automatic analysis of human behavior has been a popular research topic in the last decades [2]. In literature, there are some work involving the visualization and analysis of cultural characteristics, such as analysis of the impact of groups on crowds through human perceptions [3], simulation of crowds through behaviors based on personality and emotions traits [4], visualization of interactions between virtual agents in crowd simulation and pedestrians in real video sequences [5], visualization of personality traits through social media [6], visualization and understanding of personal emotional style [7], visualization of personal records [8] among others. Typically, these approaches deal with Natural Language Processing (NLP) and extractions of social media data (analysis of feelings), criminal and medical records, or any other record extracted from textual data.…”

Section: Introductionmentioning

confidence: 99%

How much do you perceive this? An analysis on perceptions of geometric features, personalities and emotions in virtual humans (Extended Version)

Araujo

Favaretto

Knob

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

This work aims to evaluate people's perception regarding geometric features, personalities and emotions characteristics in virtual humans. For this, we use as a basis, a dataset containing the tracking files of pedestrians captured from spontaneous videos and visualized them as identical virtual humans. The goal is to focus on their behavior and not being distracted by other features. In addition to tracking files containing their positions, the dataset also contains pedestrian emotions and personalities detected using Computer Vision and Pattern Recognition techniques. We proceed with our analysis in order to answer the question if subjects can perceive geometric features as distances/speeds as well as emotions and personalities in video sequences when pedestrians are represented by virtual humans. Regarding the participants, an amount of 73 people volunteered for the experiment. The analysis was divided in two parts: i) evaluation on perception of geometric characteristics, such as density, angular variation, distances and speeds, and ii) evaluation on personality and emotion perceptions. Results indicate that, even without explaining to the participants the concepts of each personality or emotion and how they were calculated (considering geometric characteristics), in most of the cases, participants perceived the personality and emotion expressed by the virtual agents, in accordance with the available ground truth.

show abstract

“…Regarding game research area, cultural features can determine behavior of simulated crowds [10,26], character animations [12], or assist in the study of human perception about simulated crowds [2,3,37]. All such cases can be used in serious game contexts to assist psychologists in the analysis of cultural features.…”

Section: Introductionmentioning

confidence: 99%

A Software to Detect OCC Emotion, Big-Five Personality and Hofstede Cultural Dimensions of Pedestrians from Video Sequences

Favaretto,

Araujo,

Musse

et al. 2019

Preprint

View full text Add to dashboard Cite

This paper presents a video analysis application to detect personality, emotion and cultural aspects from pedestrians in video sequences, along with a visualizer of features. The proposed model considers a series of characteristics of the pedestrians and the crowd, such as number and size of groups, distances, speeds, among others, and performs the mapping of these characteristics in personalities, emotions and cultural aspects, considering the Cultural Dimensions of Hofstede (HCD), the Big-Five Personality Model (OCEAN) and the OCC Emotional Model. The main hypothesis is that there is a relationship between so-called intrinsic human variables (such as emotion) and the way people behave in space and time. The software was tested in a set of videos from different countries and results seem promising in order to identify these three different levels of psychological traits in the filmed sequences. In addition, the data of the people present in the videos can be seen in a crowd viewer.

show abstract

Visualization of Interactions in Crowd Simulation and Video Sequences

Cited by 8 publications

References 10 publications

Perception of Personality Traits in Crowds of Virtual Humans

Perception of Personality Traits in Crowds of Virtual Humans

How much do you perceive this? An analysis on perceptions of geometric features, personalities and emotions in virtual humans (Extended Version)

A Software to Detect OCC Emotion, Big-Five Personality and Hofstede Cultural Dimensions of Pedestrians from Video Sequences

Contact Info

Product

Resources

About