RT info:eu-repo/semantics/article
T1 Integration of Computer Vision and Wireless Networks to Provide Indoor Positioning
A1 Duque Domingo, Jaime
A1 Gómez García-Bermejo, Jaime
A1 Zalama Casanova, Eduardo
A1 Cerrada, Carlos
A1 Valero, Enrique
K1 Indoor positioning
K1 Posicionamiento en interiores
K1 RGB cameras
K1 Cámaras RGB
K1 WiFi
K1 Wireless networks
K1 Redes inalámbricas
AB This work presents an integrated Indoor Positioning System which makes use of WiFi signals and RGB cameras, such as surveillance cameras, to track and identify people navigating in complex indoor environments. Previous works have often been based on WiFi, but accuracy is limited. Other works use computer vision, but the problem of identifying concrete persons relies on such techniques as face recognition, which are not useful if there are many unknown people, or where the robustness decreases when individuals are seen from different points of view. The solution presented in this paper is based on an accurate combination of smartphones along with RGB cameras, such as those used in surveillance infrastructures. WiFi signals from smartphones allow the persons present in the environment to be identified uniquely, while the data coming from the cameras allow the precision of location to be improved. The system is nonintrusive, and biometric data about subjects is not required. In this paper, the proposed method is fully described and experiments performed to test the system are detailed along with the results obtained.
PB MDPI
SN 1424-8220
YR 2019
FD 2019
LK https://uvadoc.uva.es/handle/10324/48465
UL https://uvadoc.uva.es/handle/10324/48465
LA eng
NO Sensors, 2019, vol. 19, n. 24, 5495
NO Producción Científica
DS UVaDOC
RD 24-abr-2024