论文标题

使用卷积神经网络和模拟研究基本图中的文化方面

Investigating Cultural Aspects in the Fundamental Diagram using Convolutional Neural Networks and Simulation

论文作者

Favaretto, Rodolfo M., Santos, Roberto R., Ballotin, Marcio, Knob, Paulo, Musse, Soraia R., Vilanova, Felipe, Costa, Angelo B.

论文摘要

本文在一个受控实验中介绍了一项有关群体行为的研究,该研究重点介绍了在两个国家 /地区之间各种文化(个人空间)不同的重要属性中的差异:巴西和德国。为了将德国和巴西演变与同样的任务进行一致比较,我们在德国进行了巴西的行人基本图实验。我们使用CNN来检测和跟踪视频序列的人。有了这些数据,我们使用Voronoi图来找出人们之间的邻居关系,然后计算步行距离以找出个人空间。根据个人空间分析,我们发现人们的行为在高密度的人群中更为相似,在低和中等密度方面有所不同。因此,我们将研究重点放在两个国家之间的文化差异上。结果表明,个人空间分析可能是一个相关功能,以了解视频序列中的文化方面。除了文化差异之外,我们还使用海洋研究了人群中的人格模型。我们还提出了一种使用海洋心理特征模型作为输入的其他国家模拟FD实验的方法。模拟国家与文献一致。

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.

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