Figure 3 - uploaded by Alexis Fillone
Content may be subject to copyright.
Pedestrian grid density map showing variations in densities at relative distances ahead and behind the carriage.
Source publication
Developments on crowd counting and estimation are on the rise due to the emerging demand brought about by population increase and corresponding improvements in public safety planning. Various methods are successful in addressing challenges and limitations, such as occlusions and wide density variations. However, none have tackled the risky dynamic...
Context in source publication
Similar publications
This paper proposes a new deep learning network based on the spatial attention mechanism—crowd interaction with residual attention network (CIRAN), which combines the position and velocity information of neighbor pedestrians for trajectory prediction. It adaptively selects the most effective areas of the scene by using the residual attention module...
