Human Localization Using Multi-Source Heterogeneous Data in Indoor Environments.

A human localization system using multi-source heterogeneous data in indoor environments is proposed in this paper. The system can be easily constructed with already deployed Wi-Fi and camera infrastructures and is able to make use of received signal strength samples, surveillance images, and room map information to achieve a comparable performance. In a corridor scenario, we optimize propagation ...