| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
| Identifier | 6qtX3pFwXQZG2LgkFdY/QRrno |
| Repository | sid.inpe.br/sibgrapi@80/2007/07.24.18.40 |
| Last Update | 2007:07.24.18.40.55 (UTC) administrator |
| Metadata Repository | sid.inpe.br/sibgrapi@80/2007/07.24.18.40.57 |
| Metadata Last Update | 2022:06.14.00.13.34 (UTC) administrator |
| DOI | 10.1109/SIBGRAPI.2007.43 |
| Citation Key | GracianoCesaBloc:2007:GrObTr |
| Title | Graph-based Object Tracking Using Structural Pattern Recognition  |
| Format | Printed, On-line. |
| Year | 2007 |
| Access Date | 2024, Apr. 25 |
| Number of Files | 1 |
| Size | 2524 KiB |
| 2. Context | |
| Author | 1 Graciano, Ana Beatriz Vicentim 2 Cesar-Jr, Roberto M. 3 Bloch, Isabelle |
| Affiliation | 1 Institute of Mathematics and Statistics - University of São Paulo 2 Institute of Mathematics and Statistics - University of São Paulo 3 Dept. TSI - ENST - Paris |
| Editor | Falcão, Alexandre Xavier Lopes, Hélio Côrtes Vieira |
| Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI) |
| Conference Location | Belo Horizonte, MG, Brazil |
| Date | 7-10 Oct. 2007 |
| Publisher | IEEE Computer Society |
| Publisher City | Los Alamitos |
| Book Title | Proceedings |
| Tertiary Type | Full Paper |
| History (UTC) | 2007-07-31 18:46:15 :: anabvg@gmail.com -> administrator :: 2007-08-02 21:17:35 :: administrator -> anabvg@gmail.com :: 2008-07-17 14:09:43 :: anabvg@gmail.com -> administrator :: 2009-08-13 20:38:26 :: administrator -> banon :: 2010-08-28 20:02:28 :: banon -> administrator :: 2022-06-14 00:13:34 :: administrator -> :: 2007 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Version Type | finaldraft |
| Keywords | object tracking recognition part-based graph video |
| Abstract | This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), which carry both local and relational information about them. The recognition is performed by inexact graph matching, which consists in finding an approximate homomorphism between ARGs derived from an input video and a model image. Searching for a suitable homomorphism is achieved through a tree-search optimization algorithm and the minimization of a pre-defined cost function. Motion smoothness between successive frames is exploited to achieve the recognition over the whole sequence, with improved spatio-temporal coherence. |
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2007 > Graph-based Object Tracking... |
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Graph-based Object Tracking... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/QRrno |
| zipped data URL | http://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/QRrno |
| Language | en |
| Target File | graciano-GraphBasedTracking.pdf |
| User Group | anabvg@gmail.com administrator |
| Visibility | shown |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPEW34M/46SF8Q5 8JMKD3MGPEW34M/4742MCS |
| Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.00.14 3 |
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress 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 |