Estimating Person Positions using a Camera and Wireless Devices in a Space with Temporary Shielding


WiFi-person-position.jpg
[Abstract]
Camera sensors can generally estimate a person's position accurately. Here, we consider the case where the camera cannot estimate a person's position when its field of view is unavoidably blocked by temporary shielding. In recent years, several person position estimation methods have been proposed based on use of wireless devices that emit radio waves that can penetrate the shielding. However, to estimate a person's position accurately using wireless devices, we must also consider how we collect the training samples, which consist of pairs of the radio wave strength and the person's position data, because the radio signals acquired from wireless devices cannot be annotated intuitively by humans in the same way as camera images. Our method collects training samples automatically for a regression model that estimates a person's position when there is no shielding via a collaboration between the camera and the wireless devices. Then, our method can estimate person positions using the model, even when temporary shielding occurs. The experimental results obtained when temporary shielding occurred show that the person position estimation error was 15.9 cm when one person was walking in a poster space and 18.7 cm when two people were walking in the space simultaneously.
[Publications]



otama1.png