Pedestrian movement is woven into the fabric of urban regions. With more people living in
cities than ever before, there is an increased need to understand and model how …

Various techniques have been developed in recent years to simulate crowds, and most of
them focus on collision avoidance while ignoring basic statistical spatiotemporal properties …

Extracting pedestrian movement patterns and determining anomalous regions/time periods
is a major challenge in data mining of massive trajectory datasets. In this paper, we apply …

Indoor pedestrian tracks are now obtained with monitoring systems, such as video and
LiDAR. Statistics using the track information, such as the number of pedestrians and …

Context As trajectory analysis is widely used in the fields of video surveillance, crowd
monitoring, behavioral prediction, and anomaly detection, finding motion patterns is a …

A surveillance region identifying method is used to analyze a region feature of a surveillance
region covered by a surveillance apparatus. The surveillance region identifying method …