Recovering Field Of View Lines by Using Projective Invariants (WP-L4)

Author(s) : Senem Velipasalar (Princeton University, USA) Wayne Wolf (Princeton University, USA)

Abstract : Establishing correspondences between moving objects is an important problem in multiple camera tracking, and field of view (FOV) lines have been introduced in literature as an efficient tool to resolve the consistent labeling issue. We introduce a new and robust method to find the FOV lines, which uses projective invariants, thus does not rely on the object movement in the scene, and does not require information about camera parameters. As the labeling scheme suggested before is based on the distance of an object to an FOV line, accurate recovery of the FOV lines provides reliable labeling and makes the process less error prune. We present results on different sequences, obtained from the PETS2001 database, which show the robustness of the algorithm in recovering all visible FOV lines of another camera in the current camera view.

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