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Investigating Cultural Aspects in the Fundamental Diagram using Convolutional Neural Networks and Simulation
arXiv - CS - Other Computer Science Pub Date : 2020-09-30 , DOI: arxiv-2010.11995
Rodolfo M. Favaretto, Roberto R. Santos, Marcio Ballotin, Paulo Knob, Soraia R. Musse, Felipe Vilanova, Angelo B. Costa

This paper presents a study regarding group behavior in a controlled experiment focused on differences in an important attribute that vary across cultures -- the personal spaces -- in two Countries: Brazil and Germany. In order to coherently compare Germany and Brazil evolutions with same population applying same task, we performed the pedestrian Fundamental Diagram experiment in Brazil, as performed in Germany. We use CNNs to detect and track people in video sequences. With this data, we use Voronoi Diagrams to find out the neighbor relation among people and then compute the walking distances to find out the personal spaces. Based on personal spaces analyses, we found out that people behavior is more similar, in terms of their behaviours, in high dense populations and vary more in low and medium densities. So, we focused our study on cultural differences between the two Countries in low and medium densities. Results indicate that personal space analyses can be a relevant feature in order to understand cultural aspects in video sequences. In addition to the cultural differences, we also investigate the personality model in crowds, using OCEAN. We also proposed a way to simulate the FD experiment from other countries using the OCEAN psychological traits model as input. The simulated countries were consistent with the literature.

中文翻译:

使用卷积神经网络和模拟研究基本图中的文化方面

本文介绍了一项关于群体行为的对照实验,研究重点是巴西和德国这两个国家的不同文化——个人空间——的一个重要属性的差异。为了连贯地比较德国和巴西在相同人群中应用相同任务的进化,我们在巴西进行了行人基本图实验,就像在德国进行的一样。我们使用 CNN 来检测和跟踪视频序列中的人。有了这些数据,我们使用 Voronoi Diagrams 找出人与人之间的邻居关系,然后计算步行距离以找出个人空间。基于个人空间分析,我们发现人们的行为在高密度人群中更相似,而在低密度和中密度人群中差异更大。所以,我们的研究重点是中低密度的两国之间的文化差异。结果表明,个人空间分析可以成为了解视频序列中文化方面的相关特征。除了文化差异之外,我们还使用 OCEAN 调查了人群中的个性模型。我们还提出了一种使用 OCEAN 心理特征模型作为输入来模拟来自其他国家的 FD 实验的方法。模拟国家与文献一致。我们还提出了一种使用 OCEAN 心理特征模型作为输入来模拟来自其他国家的 FD 实验的方法。模拟国家与文献一致。我们还提出了一种使用 OCEAN 心理特征模型作为输入来模拟来自其他国家的 FD 实验的方法。模拟国家与文献一致。
更新日期:2020-10-26
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