1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZG2LgkFdY/LNm7D |
Repository | sid.inpe.br/sibgrapi@80/2006/07.19.03.17 |
Last Update | 2006:07.19.03.17.46 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi@80/2006/07.19.03.17.47 |
Metadata Last Update | 2022:06.14.00.13.15 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2006.42 |
Citation Key | BrandãoWainGold:2006:SuHiPa |
Title | Subspace Hierarchical Particle Filter  |
Format | On-line |
Year | 2006 |
Access Date | 2025, Feb. 10 |
Number of Files | 1 |
Size | 249 KiB |
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2. Context | |
Author | 1 Brandão, Bruno Cedraz 2 Wainer, Jacques 3 Goldenstein, Siome Klein |
Affiliation | 1 UNICAMP |
Editor | Oliveira Neto, Manuel Menezes de Carceroni, Rodrigo Lima |
e-Mail Address | brunocedraz@gmail.com |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI) |
Conference Location | Manaus, AM, Brazil |
Date | 8-11 Oct. 2006 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2008-07-17 14:11:03 :: brunocedraz -> administrator :: 2009-08-13 20:38:08 :: administrator -> banon :: 2010-08-28 20:02:24 :: banon -> administrator :: 2022-06-14 00:13:15 :: administrator -> :: 2006 |
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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 | tracking of objects humans articulated structures particle filtering |
Abstract | Particle filtering has become a standard tool for non-parametric estimation in computer vision tracking applications. It is an instance of stochastic search. Each particle represents a possible state of the system. Higher concentration of particles at any given region of the search space implies higher probabilities. One of its major drawbacks is the exponential growth in the number of particles for increasing dimensions in the search space. We present a graph based filtering framework for hierarchical model tracking that is capable of substantially alleviate this issue. The method relies on dividing the search space in subspaces that can be estimated separately. Low correlated subspaces may be estimated with parallel, or serial, filters and have their probability distributions combined by a special aggregator filter. We describe a new algorithm to extract parameter groups, which define the subspaces, from the system model. We validate our method with different graph structures withing a simple hand tracking experiment with both synthetic and real data. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Subspace Hierarchical Particle... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Subspace Hierarchical Particle... |
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/6qtX3pFwXQZG2LgkFdY/LNm7D |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/LNm7D |
Language | en |
Target File | brandao-SHPF.pdf |
User Group | brunocedraz administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46RFT7E 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.08.00.20 17 sid.inpe.br/sibgrapi/2022/06.10.21.49 11 |
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 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 |
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