Title :
Changes in Usage of an Indoor Public Space: Analysis of One Year of Person Tracking
Author :
Brscic, Drazen ; Kanda, Takayuki
Author_Institution :
Adv. Telecommun. Res. Inst. Int., Kyoto, Japan
Abstract :
Knowledge about space usage from variables such as density and walking speed could support a variety of service applications. However, there is not much knowledge on how the usage of space changes during extended periods of time and what affects the changes. We have installed a person tracking system in a large area of a shopping center and collected pedestrian data over a year. In this paper, we analyze the collected data to find the changes in pedestrian density and speed, percentage of children, and pedestrian trajectories. The changes from day to day, as well as during the day are examined, and a number of factors that affect them are identified. This is in turn used in the prediction of the state of the space using a Gaussian process model.
Keywords :
Gaussian processes; large-scale systems; object tracking; pedestrians; ubiquitous computing; Gaussian process model; children percentage; density speed; indoor public space; pedestrian density; pedestrian speed; pedestrian trajectories; person tracking system; service applications; shopping center; space state prediction; space usage; walking speed; Cameras; Computational modeling; Predictive models; Robots; Sensors; Standards; Trajectory; Distributed vision networks; modeling; predictive models; ubiquitous computing;
Journal_Title :
Human-Machine Systems, IEEE Transactions on
DOI :
10.1109/THMS.2014.2374172
