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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3A3LJ3B
Repositorysid.inpe.br/sibgrapi/2011/07.11.00.33
Last Update2011:07.11.02.30.38 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2011/07.11.00.33.28
Metadata Last Update2022:06.14.00.07.17 (UTC) administrator
DOI10.1109/SIBGRAPI.2011.26
Citation KeyMoraColqueCáma:2011:PrBaIm
TitleProgressive Background Image Generation of Surveillance Traffic Videos Based on a Temporal Histogram Ruled by a Reward/Penalty Function
FormatDVD, On-line.
Year2011
Access Date2025, July 15
Number of Files1
Size5444 KiB
2. Context
Author1 Mora Colque, Rensso Victor Hugo
2 Cámara-Chávez, Guillermo
Affiliation1 Universidade Federal de Ouro Preto
2 Universidade Federal de Ouro Preto
EditorLewiner, Thomas
Torres, Ricardo
e-Mail Addresssoulchicano@gmail.com
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
Conference LocationMaceió, AL, Brazil
Date28-31 Aug. 2011
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2011-07-23 15:36:12 :: soulchicano@gmail.com -> administrator :: 2011
2022-06-14 00:07:17 :: administrator -> :: 2011
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsBackground image
frame difference
temporal intensity histogram
reward and penalty function
AbstractIn most surveillance traffic systems the background image is used for segmenting the moving objects. In this paper, we propose a method for progressive and constant renewal of the background image of a video sequence. Our method is divided in three parts: frame difference to get an actual information of the video sequence; reward and penalty function that modifies a temporal histogram; and the background generation uses the information found in the histogram. The principal characteristic of the method is the constant regeneration of the histogram using neighborhood information of intensity levels, penalizing the occurrence of foreign objects and rewarding the values of static objects. For that, the histogram values are modified regionally and its variation correspond to a normal distribution. The principal advantages of our proposed method lies in the progressive increment of the background pixel intensity occurrences, the fast reaction to changes between foreground and background segments and the simplicity of the method that can be used in real time applications. At the end of this paper, experimental results demonstrated the feasibility of the proposed technique in different weather conditions and traffic situations.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2011 > Progressive Background Image...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Progressive Background Image...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3A3LJ3B
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3A3LJ3B
Languageen
Target FileProgressive Background Image Generation of Surveillance Traffic Videos Based on a Temporal Histogram Ruled by a RewardPenalty Function.pdf
User Groupsoulchicano@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SKNPE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.00.56 40
sid.inpe.br/sibgrapi/2022/06.10.21.49 4
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 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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