1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/w9ycq |
Repository | sid.inpe.br/banon/2002/11.13.12.02 |
Last Update | 2002:11.13.02.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2002/11.13.12.02.32 |
Metadata Last Update | 2024:03.23.15.30.53 (UTC) administrator |
DOI | 10.1109/SIBGRA.2000.883926 |
Citation Key | FloresHirBarLotMey:2000:MoOpSe |
Title | Morphological operators for segmentation of color sequences |
Year | 2000 |
Access Date | 2024, May 04 |
Number of Files | 1 |
Size | 951 KiB |
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2. Context | |
Author | 1 Flores, Franklin César 2 Hirata Jr., Roberto 3 Barrera, Junior 4 Lotufo, Roberto A. 5 Meyer, Fernand |
Editor | Carvalho, Paulo Cezar Pinto Walter, Marcelo |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil |
Date | 17-20 Oct. 2000 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Pages | 300-307 |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - Brazilian Computer Society |
History (UTC) | 2008-07-17 14:10:51 :: administrator -> banon :: 2008-08-26 15:23:02 :: banon -> administrator :: 2009-08-13 20:37:03 :: administrator -> banon :: 2010-08-28 20:00:11 :: banon -> administrator :: 2024-03-23 15:30:53 :: administrator -> :: 2000 |
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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 | mathematical morphology morphological operators color sequence segmentation moving object segmentation image sequences computational learning statistical optimization video frames mathematical morphology |
Abstract | This paper presents a technique for the segmentation of moving objects in color image sequences. The technique is based on Beucher-Meyer paradigm, with markers detected by a morphological operator designed by computational learning (or, equivalently, statistical optimization). Objects in some frames of the video are marked manually and used to train the markers detector. Then, the operator designed is used to mark the objects in the other frames and the paradigm is applied to all frames marked by the detector. Two real world examples illustrate the application of the proposed technique. |
Arrangement 1 | MM > Morphological operators for... |
Arrangement 2 | urlib.net > SDLA > Fonds > SIBGRAPI 2000 > Morphological operators for... |
Arrangement 3 | urlib.net > SDLA > Fonds > Full Index > Morphological operators for... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/6qtX3pFwXQZeBBx/w9ycq |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/w9ycq |
Target File | 300-307.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/4AUUH9L 8JMKD3MGPEW34M/46PN6AP 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/04.27.03.08 4 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Gramado, RS, Brazil, from October 17 to 20. |
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