Spatial and Temporal Visualization of Pedestrians Based on Walking States

People flow has useful knowledge in various fields including traffic, disaster prevention, and marketing. Such information can be obtained by looking for the movement patterns of each person and the features of each place.We have proposed a visualization method that summarizes the paths of a large number of pedestrians in order to discover their useful information. However, we have not been working on visualization focusing on walking states whether people are moving rapidly or slowly. This paper presents a visualization method based on the walking states of a large number of pedestrian paths measured by using cameras. The visualization tool allows users to inspect walking people based on walking states from spatial and temporal views. The spatial view applies a heatmap and the temporal view adopts a stacked line graph. In addition, the user interface has a function to simultaneously visualize changes in the walking state distribution over time and walking paths.