We present a real-time building occupancy monitoring system using sensor fusion.

Occupancy estimation is based on probabilistic Conditional Random Field models.

Different combinations of simple sensors are evaluated in four different spaces.

Low NRMSE values were achieved by the proposed method.

The most efficient sensor combinations based on multiple criteria are presented.