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Published in:
2014 | OriginalPaper | Chapter
Data-Driven Pedestrian Model: From OpenCV to NetLogo
Authors : Jan Procházka, Kamila Olševičová
Published in: Computational Collective Intelligence. Technologies and Applications
Publisher: Springer International Publishing
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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 bi-directional flows of walkers. The extension builds on the computer vision library OpenCV.