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Achieving both localization and identification of people in a wide open area using only cameras can be a challenging task, which requires cross-cutting requirements: high resolution for identification, whereas low resolution for having a wide coverage of the localization. Consequently, this paper proposes the joint use of cameras (only devoted to localization) and RFID sensors (devoted to identification) with the final objective of detecting and localizing intruders. To ground the observations on a common coordinate system, a calibration procedure is defined. This procedure only demands a training phase with a single person moving in the scene holding a RFID tag. Although preliminary, the results demonstrate that this calibration is sufficiently accurate to be applied whenever different scenarios, where area of overlap between the field of view (FoV) of a camera and the "field of sense" (FoS) of a (blind) sensor must be efficiently determined.