In this Paper we present the use of Time-of-Flight (TOF) cameras in Smart-rooms and how this leads to improved results in segmenting the people in the room from the background and consequently better 3D reconstruction of the people. A calibrated rig of one Swissranger SR3100 Time-of-flight range camera and a high resolution standard camera is set in a smart-room consisting of 5 other standard cameras. A probabilistic background model is used to segment each view and a shape from silhouette 3D volume is constructed. It is shown that the presence of the range camera gives ways of eliminating regional artifacts and therefore a more robust input for higher level applications such people tracking or human motion analysis.
|Title of host publication||Computer Vision and Pattern Recognition Workshops, 2008 : CVPR Workshop on Time of Flight Camera based Computer Vision|
|Publication status||Published - 2008|
|Event||2008 IEEE Conference on Computer Vision and Pattern Recognition - Anchorage, United States|
Duration: 23 Jun 2008 → 28 Jun 2008
|Conference||2008 IEEE Conference on Computer Vision and Pattern Recognition|
|Period||23/06/2008 → 28/06/2008|