1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3A3LJ3B |
Repository | sid.inpe.br/sibgrapi/2011/07.11.00.33 |
Last Update | 2011:07.11.02.30.38 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2011/07.11.00.33.28 |
Metadata Last Update | 2022:06.14.00.07.17 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2011.26 |
Citation Key | MoraColqueCáma:2011:PrBaIm |
Title | Progressive Background Image Generation of Surveillance Traffic Videos Based on a Temporal Histogram Ruled by a Reward/Penalty Function |
Format | DVD, On-line. |
Year | 2011 |
Access Date | 2024, Apr. 20 |
Number of Files | 1 |
Size | 5444 KiB |
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2. Context | |
Author | 1 Mora Colque, Rensso Victor Hugo 2 Cámara-Chávez, Guillermo |
Affiliation | 1 Universidade Federal de Ouro Preto 2 Universidade Federal de Ouro Preto |
Editor | Lewiner, Thomas Torres, Ricardo |
e-Mail Address | soulchicano@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 24 (SIBGRAPI) |
Conference Location | Maceió, AL, Brazil |
Date | 28-31 Aug. 2011 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2011-07-23 15:36:12 :: soulchicano@gmail.com -> administrator :: 2011 2022-06-14 00:07:17 :: administrator -> :: 2011 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | Background image frame difference temporal intensity histogram reward and penalty function |
Abstract | In 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2011 > Progressive Background Image... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Progressive Background Image... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3A3LJ3B |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3A3LJ3B |
Language | en |
Target File | Progressive Background Image Generation of Surveillance Traffic Videos Based on a Temporal Histogram Ruled by a RewardPenalty Function.pdf |
User Group | soulchicano@gmail.com |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/46SKNPE 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.15.00.56 6 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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