| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
| Identifier | 6qtX3pFwXQZG2LgkFdY/QVvAv |
| Repository | sid.inpe.br/sibgrapi@80/2007/07.31.19.24 |
| Last Update | 2007:07.31.19.24.13 (UTC) administrator |
| Metadata Repository | sid.inpe.br/sibgrapi@80/2007/07.31.19.24.15 |
| Metadata Last Update | 2022:06.14.00.13.35 (UTC) administrator |
| DOI | 10.1109/SIBGRAPI.2007.19 |
| Citation Key | SilvaScha:2007:UnIdCo |
| Title | Unsupervised identification of coherent motion in video  |
| Format | Printed, On-line. |
| Year | 2007 |
| Access Date | 2024, May 06 |
| Number of Files | 1 |
| Size | 5646 KiB |
| 2. Context | |
| Author | 1 Silva, Luciano Silva da 2 Scharcanski, Jacob |
| 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 19:24:15 :: lssilva@inf.ufrgs.br -> administrator :: 2007-08-02 21:17:40 :: administrator -> lssilva@inf.ufrgs.br :: 2008-07-17 14:09:43 :: lssilva@inf.ufrgs.br -> administrator :: 2009-08-13 20:38:27 :: administrator -> banon :: 2010-08-28 20:02:29 :: banon -> administrator :: 2022-06-14 00:13:35 :: administrator -> :: 2007 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Version Type | finaldraft |
| Keywords | motion segmentation point trajectories |
| Abstract | The identification and classification of motion patterns in point trajectories has been an important issue in understanding and representing dynamic scenes. This paper proposes an unsupervised approach to identify coherent motion in video. Instead of producing a spatio-temporal segmentation of the raw data, the proposed method analyzes point trajectories along the video sequence to identify sets of points that move coherently. This new way of extracting motion information from videos potentially can be used in different areas of image processing and computer vision. |
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2007 > Unsupervised identification of... |
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Unsupervised identification of... |
| 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/QVvAv |
| zipped data URL | http://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/QVvAv |
| Language | en |
| Target File | SilvaSchrcanski_MotionCoherence.pdf |
| User Group | lssilva@inf.ufrgs.br 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 | affiliation 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 |