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
收藏
页码：322 / 331
页数：10
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