Camera cooperation for achieving visual attention

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

1 MOVI - Modeling, localization, recognition and interpretation in computer vision

In this report 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 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: VIDEO SURVEILLANCE; VISUAL ATTENTION; STEREO VISION; CAMERA CALIBRATION; KINEMATIC CALIBRATION; PAN-TILT CAMERA HEAD

Domaines: Autre [cs.OH]

Radu Horaud, David Knossow, Markus Michaelis. Camera cooperation for achieving visual attention. [Research Report] RR-5216, INRIA. 2004, pp.27. ⟨inria-00070778⟩