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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW4/35S5S78
Repositorysid.inpe.br/sibgrapi@80/2009/08.17.18.28
Last Update2009:08.17.18.28.51 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2009/08.17.18.28.55
Metadata Last Update2022:06.14.00.13.58 (UTC) administrator
DOI10.1109/SIBGRAPI.2009.46
Citation KeyRistivojevićKonr:2009:MuMoDe
TitleMulti-frame motion detection for active/unstable cameras
FormatPrinted, On-line.
Year2009
Access Date2024, May 02
Number of Files1
Size174 KiB
2. Context
Author1 Ristivojević, Mirko
2 Konrad, Janusz
Affiliation1 Intellivid Corp.
2 Boston University
EditorNonato, Luis Gustavo
Scharcanski, Jacob
e-Mail Addressjkonrad@bu.edu
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date11-14 Oct. 2009
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-08-28 20:03:26 :: jkonrad@bu.edu -> administrator ::
2022-06-14 00:13:58 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsmotion detection
multi-frame video analysis
level sets
affine motion
AbstractNetwork cameras, extensively used in video surveillance, often allow pan-tilt-zoom functionality and are also subject to wind load and mount vibrations, thus causing video frame misalignment. Although algorithms for motion detection, a basic block of most visual surveillance systems, are relatively mature for fixed cameras, they usually perform poorly for active and/or vibrating cameras. The issue is particularly severe for algorithms using multiple video frames jointly. In this paper, we extend our earlier work on multiple-frame motion detection to the case of active and unstable cameras. Our method accounts for spatially-affine, inter-frame transformations that can vary in time, uses a variational formulation and applies a level-set solution. We present ground-truth and real-data experimental results and show significant improvements over earlier methods. .
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2009 > Multi-frame motion detection...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Multi-frame motion detection...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW4/35S5S78
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW4/35S5S78
Languageen
Target FilePID950239_final_submission.pdf
User Groupjkonrad@bu.edu
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJQ2S
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.19.43 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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