Data- Driven Pedestrian Model: From OpenCV to NetLogo

被引：0

作者：

Prochazka, Jan ^{[1
]}

Olsevicova, Kamila ^{[1
]}

机构：

[1] Univ Hradec Kralove, Rokitanskeho 62, Hradec Kralove 50003, Czech Republic

来源：

COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, ICCCI 2014 | 2014年 / 8733卷

关键词：

SIMULATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Our objective was to replicate the movement of real pedestrians in NetLogo agent-based model using the video recording of pedestrians as the source of reliable data. To achieve this, it was necessary to develop the video-processing extension for NetLogo. The paper presents the principles of video data transformation, the implementation of the extension and the experiment with a sample video stream that demonstrates the self-organization of bidirectional flows of walkers. The extension builds on the computer vision library OpenCV.

引用

页码：322 / 331

页数：10

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