@inproceedings{c8903eaeb72d41fdaf3583097a3ac048,
title = "Fundamental matrices from moving objects using line motion barcodes",
abstract = "Computing the epipolar geometry between cameras with very different viewpoints is often very difficult. The appearance of objects can vary greatly, and it is difficult to find corresponding feature points. Prior methods searched for corresponding epipolar lines using points on the convex hull of the silhouette of a single moving object. These methods fail when the scene includes multiple moving objects. This paper extends previous work to scenes having multiple moving objects by using the {"}Motion Barcodes{"}, a temporal signature of lines. Corresponding epipolar lines have similar motion barcodes, and candidate pairs of corresponding epipoar lines are found by the similarity of their motion barcodes. As in previous methods we assume that cameras are relatively stationary and that moving objects have already been extracted using background subtraction.",
keywords = "Epipolar geometry, Epipolar lines, Fundamental matrix, Motion barcodes, Multi-camera calibration",
author = "Yoni Kasten and Gil Ben-Artzi and Shmuel Peleg and Michael Werman",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 14th European Conference on Computer Vision, ECCV 2016 ; Conference date: 08-10-2016 Through 16-10-2016",
year = "2016",
doi = "10.1007/978-3-319-46475-6_14",
language = "אנגלית",
isbn = "9783319464749",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "220--228",
editor = "Bastian Leibe and Nicu Sebe and Max Welling and Jiri Matas",
booktitle = "Computer Vision - 14th European Conference, ECCV 2016, Proceedings",
}