@inproceedings{a19fa84b143f49309263f8ad5ee46015,
title = "Detecting regions of dynamic texture",
abstract = "Motion estimation is usually based on the brightness constancy assumption. This assumption holds well for rigid objects with a Lambertian surface, but it is less appropriate for fluid and gaseous materials. For these materials a variant of this assumption, which we call the brightness conservation assumption should be employed. Under this assumption an object's brightness can diffuse to its neighborhood. We propose a method for detecting regions of dynamic texture in image sequences. Segmentation into regions of static and dynamic texture is achieved by using a level set scheme. The level set function separates the images into areas obeying brightness constancy and those which obey brightness conservation. Experimental results on challenging image sequences demonstrate the success of the segmentation scheme and validate the model.",
keywords = "Dynamic texture, Level set, Optical flow",
author = "Tomer Amiaz and S{\'a}ndor Fazekas and Dmitry Chetverikov and Nahum Kiryati",
year = "2007",
doi = "10.1007/978-3-540-72823-8_73",
language = "אנגלית",
isbn = "9783540728221",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "848--859",
booktitle = "Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings",
address = "גרמניה",
note = "1st International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007 ; Conference date: 30-05-2007 Through 02-06-2007",
}