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Found 4 papers, 2 papers with code
Human Motion Prediction under Unexpected Perturbation
We investigate a new task in human motion prediction, which is predicting motions under unexpected physical perturbation potentially involving multiple people.
A Novel Voronoi-based Convolutional Neural Network Framework for Pushing Person Detection in Crowd Videos
In the feature extraction component, a new Voronoi-based method is developed for determining the local regions associated with each person in the input video.
A Cloud-based Deep Learning Framework for Early Detection of Pushing at Crowded Event Entrances
In this paper, we propose a cloud-based deep learning framework for automatic early detection of pushing in crowded event entrances.
Wayfinding and cognitive maps for pedestrian models
A new wayfinding model for pedestrian dynamics is proposed.
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