Socially-Aware Large-Scale Crowd Forecasting
In crowded spaces such as city centers or train stations, human mobility looks complex, but is often influenced only by a few causes. We propose to quantitatively study crowded environments by introducing a dataset of 42 million trajectories collected in train stations. Given this dataset, we addres...
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Published in | 2014 IEEE Conference on Computer Vision and Pattern Recognition pp. 2211 - 2218 |
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Main Authors | , , |
Format | Conference Proceeding Journal Article |
Language | English |
Published |
IEEE
01.06.2014
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Subjects | |
Online Access | Get full text |
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