Camera cooperation for achieving visual attention
Author(s) -
Radu Horaud,
David Knossow,
Markus Michaelis
Publication year - 2005
Publication title -
machine vision and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.37
H-Index - 68
eISSN - 1432-1769
pISSN - 0932-8092
DOI - 10.1007/s00138-005-0182-9
Subject(s) - computer vision , camera auto calibration , artificial intelligence , computer science , event (particle physics) , camera resectioning , pinhole camera model , zoom , smart camera , object (grammar) , field of view , set (abstract data type) , field (mathematics) , computer graphics (images) , mathematics , physics , optics , programming language , quantum mechanics , pure mathematics , lens (geology)
International audienceIn 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
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