Forecasting Interactive Dynamics of Pedestrians with Fictitious Play
We develop predictive models of pedestrian dynamics by encoding the coupled nature of multi-pedestrian interaction using game theory and deep learning-based visual analysis to estimate person-specific behavior parameters. We focus on predictive models since they are important for developing interact...
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Published in | 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 4636 - 4644 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.07.2017
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Subjects | |
Online Access | Get full text |
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