title: Pedestrian counting with grid-based binary sensors based on Monte Carlo method.
abstract: In this paper, we propose a method for estimating the number of pedestrians walking in opposite directions, as in cases of a shopping street or a sidewalk in a downtown area. The proposed method utilizes a compound-eye sensor that is constructed by placing two binary sensors for the pedestrians' movement direction and multiple binary sensors for the vertical direction of the pedestrians' movement direction. A number of Monte Carlo simulations about the movement of pedestrians are conducted, and the output history of the compound-eye sensor is obtained in each simulation. The simulation scenario with a small difference of the output history of the compound-eye sensor is selected to estimate the number of pedestrians. Evaluation results show that in the field whose width is 8 [m] the relative error in the proposed method is the smallest by using 2×8 binary sensors.
authors.affiliation: Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita-shi, 565-0871 Osaka, Japan.
authors.forename: Shuto
authors.initials: S
authors.lastname: Fujii
authors.affiliation: Faculty of Science and Engineering, Kindai University, 3-4-1 Kowakae, Higashi-osaka-shi, 577-8502 Osaka, Japan.
authors.forename: Yoshiaki
authors.initials: Y
authors.lastname: Taniguchi
authors.affiliation: Cybermedia Center, Osaka University, 1-32 Machikaneyama-cho, Toyonaka-shi, 560-0043 Osaka, Japan.
authors.forename: Go
authors.initials: G
authors.lastname: Hasegawa
authors.affiliation: Cybermedia Center, Osaka University, 1-32 Machikaneyama-cho, Toyonaka-shi, 560-0043 Osaka, Japan.
authors.forename: Morito
authors.initials: M
authors.lastname: Matsuoka
keywords: Binary sensor; Monte Carlo method; Pedestrian counting; Sensor network