Learning Convolution Operators for Visual Tracking.

Saved in:
Bibliographic Details
Superior document:Linköping Studies in Science and Technology. Dissertations Series ; v.1926
:
Place / Publishing House:Linköping : : Linkopings Universitet,, 2018.
{copy}2018.
Year of Publication:2018
Edition:1st ed.
Language:English
Series:Linköping Studies in Science and Technology. Dissertations Series
Online Access:
Physical Description:1 online resource (80 pages)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 5005379983
ctrlnum (MiAaPQ)5005379983
(Au-PeEL)EBL5379983
(CaPaEBR)ebr11565577
(OCoLC)1038480412
collection bib_alma
record_format marc
spelling Danelljan, Martin.
Learning Convolution Operators for Visual Tracking.
1st ed.
Linköping : Linkopings Universitet, 2018.
{copy}2018.
1 online resource (80 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Linköping Studies in Science and Technology. Dissertations Series ; v.1926
Intro -- POPULÄRVETENSKAPLIG SAMMANFATTNING -- ABSTRACT -- Acknowledgments -- Contents -- Background -- 1 Introduction -- 2 From Lucas-Kanade to MOSSE -- 3 Discriminative Correlation Filters -- 4 Image Features -- 5 Concluding Remarks -- Bibliography -- Publications.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Print version: Danelljan, Martin Learning Convolution Operators for Visual Tracking Linköping : Linkopings Universitet,c2018
ProQuest (Firm)
Linköping Studies in Science and Technology. Dissertations Series
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5379983 Click to View
language English
format eBook
author Danelljan, Martin.
spellingShingle Danelljan, Martin.
Learning Convolution Operators for Visual Tracking.
Linköping Studies in Science and Technology. Dissertations Series ;
Intro -- POPULÄRVETENSKAPLIG SAMMANFATTNING -- ABSTRACT -- Acknowledgments -- Contents -- Background -- 1 Introduction -- 2 From Lucas-Kanade to MOSSE -- 3 Discriminative Correlation Filters -- 4 Image Features -- 5 Concluding Remarks -- Bibliography -- Publications.
author_facet Danelljan, Martin.
author_variant m d md
author_sort Danelljan, Martin.
title Learning Convolution Operators for Visual Tracking.
title_full Learning Convolution Operators for Visual Tracking.
title_fullStr Learning Convolution Operators for Visual Tracking.
title_full_unstemmed Learning Convolution Operators for Visual Tracking.
title_auth Learning Convolution Operators for Visual Tracking.
title_new Learning Convolution Operators for Visual Tracking.
title_sort learning convolution operators for visual tracking.
series Linköping Studies in Science and Technology. Dissertations Series ;
series2 Linköping Studies in Science and Technology. Dissertations Series ;
publisher Linkopings Universitet,
publishDate 2018
physical 1 online resource (80 pages)
edition 1st ed.
contents Intro -- POPULÄRVETENSKAPLIG SAMMANFATTNING -- ABSTRACT -- Acknowledgments -- Contents -- Background -- 1 Introduction -- 2 From Lucas-Kanade to MOSSE -- 3 Discriminative Correlation Filters -- 4 Image Features -- 5 Concluding Remarks -- Bibliography -- Publications.
isbn 9789176853320
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5379983
illustrated Not Illustrated
oclc_num 1038480412
work_keys_str_mv AT danelljanmartin learningconvolutionoperatorsforvisualtracking
status_str n
ids_txt_mv (MiAaPQ)5005379983
(Au-PeEL)EBL5379983
(CaPaEBR)ebr11565577
(OCoLC)1038480412
carrierType_str_mv cr
hierarchy_parent_title Linköping Studies in Science and Technology. Dissertations Series ; v.1926
is_hierarchy_title Learning Convolution Operators for Visual Tracking.
container_title Linköping Studies in Science and Technology. Dissertations Series ; v.1926
marc_error Info : MARC8 translation shorter than ISO-8859-1, choosing MARC8. --- [ 856 : z ]
_version_ 1792331054516797441
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01890nam a22003853i 4500</leader><controlfield tag="001">5005379983</controlfield><controlfield tag="003">MiAaPQ</controlfield><controlfield tag="005">20240229073831.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">240229s2018 xx o ||||0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789176853320</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)5005379983</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL5379983</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaPaEBR)ebr11565577</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1038480412</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Danelljan, Martin.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Learning Convolution Operators for Visual Tracking.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Linköping :</subfield><subfield code="b">Linkopings Universitet,</subfield><subfield code="c">2018.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">{copy}2018.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (80 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Linköping Studies in Science and Technology. Dissertations Series ;</subfield><subfield code="v">v.1926</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Intro -- POPULÄRVETENSKAPLIG SAMMANFATTNING -- ABSTRACT -- Acknowledgments -- Contents -- Background -- 1 Introduction -- 2 From Lucas-Kanade to MOSSE -- 3 Discriminative Correlation Filters -- 4 Image Features -- 5 Concluding Remarks -- Bibliography -- Publications.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="590" ind1=" " ind2=" "><subfield code="a">Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. </subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Danelljan, Martin</subfield><subfield code="t">Learning Convolution Operators for Visual Tracking</subfield><subfield code="d">Linköping : Linkopings Universitet,c2018</subfield></datafield><datafield tag="797" ind1="2" ind2=" "><subfield code="a">ProQuest (Firm)</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Linköping Studies in Science and Technology. Dissertations Series</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5379983</subfield><subfield code="z">Click to View</subfield></datafield></record></collection>