CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 2010 vol.32 Issue No.04 - April
Issue No.04 - April (2010 vol.32)
Roman Pflugfelder , Austrian Research Centers - ARC , Vienna
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPAMI.2009.56
This paper proposes a method that localizes two surveillance cameras and simultaneously reconstructs object trajectories in 3D space. The method is an extension of the Direct Reference Plane method, which formulates the localization and the reconstruction as a system of linear equations that is globally solvable by Singular Value Decomposition. The method's assumptions are static synchronized cameras, smooth trajectories, known camera internal parameters, and the rotation between the cameras in a world coordinate system. The paper describes the method in the context of self-calibrating cameras, where the internal parameters and the rotation can be jointly obtained assuming a man-made scene with orthogonal structures. Experiments with synthetic and real--image data show that the method can recover the camera centers with an error less than half a meter even in the presence of a 4 meter gap between the fields of view.
Camera localization, nonoverlapping camera views, direct reference plane method, simultaneous localization and tracking.
Roman Pflugfelder, "Localization and Trajectory Reconstruction in Surveillance Cameras with Nonoverlapping Views", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.32, no. 4, pp. 709-721, April 2010, doi:10.1109/TPAMI.2009.56