  Combining new, low-cost thermal infrared and time-of-flight range sensors
provides new opportunities. In this position paper we explore the possibilities
of combining these sensors and using their fused data for person detection. The
proposed calibration approach for this sensor combination differs from the
traditional stereo camera calibration in two fundamental ways. A first
distinction is that the spectral sensitivity of the two sensors differs
significantly. In fact, there is no sensitivity range overlap at all. A second
distinction is that their resolution is typically very low, which requires
special attention. We assume a situation in which the sensors' relative
position is known, but their orientation is unknown. In addition, some of the
typical measurement errors are discussed, and methods to compensate for them
are proposed. We discuss how the fused data could allow increased accuracy and
robustness without the need for complex algorithms requiring large amounts of
computational power and training data.
