In recent years, many human-tracking techniques that use images, lasers, and RFID processing have been proposed for analyzing pedestrian trajectories. In normal situations, such research can be used in marketing support and information provision and safety management linked to pedestrian flow. In disaster situations, it can be used to aid the formulation of disaster response plans and evacuation guidance and to measure the state of damage. In this paper, we extract pedestrian flow using stereo cameras and propose a method for comparing and visualizing pedestrian flow measured over an extended period of time. We confirm the effectiveness of the proposed method from the results of an experiment in which we analyze pedestrian flow measured using a stereo camera over a long period of time at an office complex near Akihabara Station. Recently, people obtain a large amount of information via SNS (social networking service) and this information influences human behavior. Lastly, we clarify this influence by visualizing the flow of SNS information and pedestrians.
