Smart Device Counting and Tracking for People Flow Observation

This paper introduces a smart device counting and tracking approach for people flow observation, which can be applied to various people flow applications, including cases where vision-based methods cannot be used. The proposed system detects nearby smart devices and counts them by selecting valid devices within the suitable range, that observed by the path loss model for the target service area. This method is more effective than existing counting methods used at people flow applications because it moniotrs devices carried by individuals or crowds passing through the limited specific locations. The performance evaluation showed that the effectiveness of our method was demonstrated with an average improvement of $19.9 \%$ in the correlation coefficient.