Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Daniya Zamalieva"'
Autor:
Daniya Zamalieva, Alper Yilmaz
Publikováno v:
Computer Vision and Image Understanding. 127:73-85
Background subtraction is a commonly used technique in computer vision for detecting objects. While there is an extensive literature regarding background subtraction, most of the existing methods assume that the camera is stationary. This assumption
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2481d901a0f9b5b25ed499a270978db7
https://doi.org/10.1016/j.cviu.2014.06.007
https://doi.org/10.1016/j.cviu.2014.06.007
Publikováno v:
Reliability Engineering & System Safety. 120:18-26
Dynamic event trees provide a wide coverage of possible system evolution sequences (scenarios) and may lead to the simulation of thousands of scenarios following a single initiating event. The large number of scenarios can be a burden in terms of com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::949282bb71e2ba2b0b05af3de6071bed
https://doi.org/10.1016/j.ress.2013.02.028
https://doi.org/10.1016/j.ress.2013.02.028
Publikováno v:
Reliability Engineering & System Safety. 110:1-13
By taking into account both aleatory and epistemic uncertainties within the same probabilistic framework, dynamic event trees (DETs) provide more comprehensive and systematic coverage of possible scenarios following an initiating event compared to co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::844fc43de1f36eb39f9dc8dbba4ec0bf
https://doi.org/10.1016/j.ress.2012.09.002
https://doi.org/10.1016/j.ress.2012.09.002
Publikováno v:
ICPR
In this paper, we introduce a new method for background subtraction for freely moving cameras and arbitrary scene geometry. Instead of relying on frame-to-frame estimation, we simultaneously estimate the epipolar geometries induced by a moving camera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a4cfd0c933110a568fbfabb441c854e
https://doi.org/10.1109/icpr.2014.216
https://doi.org/10.1109/icpr.2014.216
Publikováno v:
Computer Vision – ECCV 2014 ISBN: 9783319105895
ECCV (1)
ECCV (1)
We introduce a new approach to perform background subtraction in moving camera scenarios. Unlike previous treatments of the problem, we do not restrict the camera motion or the scene geometry. The proposed approach relies on Bayesian selection of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fa9f3e176a4bc2865af7ec2187175aa
https://doi.org/10.1007/978-3-319-10590-1_52
https://doi.org/10.1007/978-3-319-10590-1_52
Publikováno v:
ISCIS
24th International Symposium on Computer and Information Sciences, ISCIS 2009
24th International Symposium on Computer and Information Sciences, ISCIS 2009
Conference name: 24th International Symposium on Computer and Information Sciences, 2009 Date of Conference: 14-16 Sept. 2009 In information retrieval (IR) systems, there are a query and a collection of documents compared with this query and ranked a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c27d934573d81bd60979cc38b69413a7
https://doi.org/10.1109/iscis.2009.5291902
https://doi.org/10.1109/iscis.2009.5291902
Publikováno v:
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2009
IGARSS (5)
IGARSS (5)
Date of Conference: 12-17 July 2009 Conference name: IEEE International Geoscience and Remote Sensing Symposium, 2009 We present an unsupervised method for discovering compound image structures that are comprised of simpler primitive objects. An init
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be3891f4bc94f833479302b8cd17bea1
https://aperta.ulakbim.gov.tr/record/39149
https://aperta.ulakbim.gov.tr/record/39149
Publikováno v:
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2008
IGARSS (3)
IGARSS (3)
Conference name:IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Date of Conference: 7-11 July 2008 We describe a new image representation using spatial relationship histograms that extend our earlier work on modeling ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e604fd6d0223f923ef86d9d447e55d8
https://hdl.handle.net/11693/26806
https://hdl.handle.net/11693/26806