Camera Cooperation for Achieving Visual Attention

Radu Horaud (1) , David Knossow (1) , Markus Michaelis (1)

1 PERCEPTION - Interpretation and Modelling of Images and Videos

In this paper we address the problem of establishing a computational model for visual attention using cooperation between two cameras. More specifically we wish to maintain a visual event within the field of view of a rotating and zooming camera through the understanding and modelling of the em geometric and kinematic coupling between a static camera and an active camera. The static camera has a wide field of view thus allowing panoramic surveillance at low resolution. High-resolution details may be captured by a second camera, provided that it looks in the right direction. We derive an algebraic formulation for the coupling between the two cameras and we specify the practical conditions yielding a unique solution. We describe a method for separating a foreground event (such as a moving object) from its background while the camera rotates. A set of outdoor experiments shows the two-camera system in operation.

Mots clés: Kinematic calibration; Camera calibration; Stereo vision; Video surveillance; Visual attention; Pan-tilt camera head

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]; Vision par ordinateur et reconnaissance de formes [cs.CV]

Radu Horaud, David Knossow, Markus Michaelis. Camera Cooperation for Achieving Visual Attention. Machine Vision and Applications, 2006, 16 (6), pp.331--342. ⟨10.1007/s00138-005-0182-9⟩. ⟨inria-00590202⟩