Demonstrations

Below, you will find some movie clips demonstrating the techniques that we develop for our project. All files are MPEG-1 video.

• tracking and identification with multiple static cameras

  [clip, size: 9.1M]

  This clip contains three simultaneous video streams from three cameras. We have placed the cameras in the faculty building, in such a way that their fields of view remain disjoint. In the bottom panel, you will see five people appearing in the camera views. The goal is to track these people locally (that is: within the filed of view) and globally - that is: re-identify a person when he/she moves between cameras. The estimated identities of people are indicated with numerical labels. In the top panel the ground-truth labels are given. See the ICPR 2004 paper for details.

• tracking and identification from a mobile robot

  [clip 1, size:15M]	[clip 2, size: 16M]

  Here we have a camera placed on a mobile robot that roams through the building. The task of the robot is to keep track of the people it has seen, even after they (temporarily) disappear from the view. The two clips present two runs, each with three people appearing multiple times in the view. Both runs have taken place in a relatively small area, but with significant illumination changes. The estimated identities of the people are indicated with numerical labels. In the corner you will see a status info indicating whether the robot is in motion or stationary. See the ICRA 2005 paper for details.

• background/foreground scene segmentation

  [clip,size: 4M]

  This video accompanies the CVPR 2005 paper , where we describe a foreground/background classification of pixels in video. The classification follows from a standard assumption that the camera and the background scene are static, whereas the interesting foreground object are in motion. Our method is one of the few approaches, where the spatial coherence of segments is enforced by an appropriate prior distribution on segments. This distribution prefers foreground segments that have smooth border.

• more to come ... !