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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/Mfvry
Repositorysid.inpe.br/sibgrapi@80/2006/08.24.15.02
Last Update2006:08.24.15.02.08 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2006/08.24.15.02.09
Metadata Last Update2022:06.14.00.13.24 (UTC) administrator
DOI10.1109/SIBGRAPI.2006.11
Citation KeyJungJacqSoldMuss:2006:DeUnMo
TitleDetection of Unusual Motion Using Computer Vision
FormatOn-line
Year2006
Access Date2024, May 04
Number of Files1
Size565 KiB
2. Context
Author1 Jung, Claudio Rosito
2 Jacques Jr, Julio C. S.
3 Soldera, John
4 Musse, Soraia Raupp
Affiliation1 PIPCA - Graduate School on Applied Computing - Universidade do Vale do Rio dos Sinos
2 PIPCA - Graduate School on Applied Computing - Universidade do Vale do Rio dos Sinos
3 PIPCA - Graduate School on Applied Computing - Universidade do Vale do Rio dos Sinos
4 PIPCA - Graduate School on Applied Computing - Universidade do Vale do Rio dos Sinos
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
e-Mail AddressJohnSoldera@gmail.com
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
Conference LocationManaus, AM, Brazil
Date8-11 Oct. 2006
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2006-08-24 15:02:09 :: JohnSoldera -> banon ::
2006-08-30 21:52:48 :: banon -> JohnSoldera ::
2008-07-17 14:11:04 :: JohnSoldera -> administrator ::
2009-08-13 20:38:14 :: administrator -> banon ::
2010-08-28 20:02:25 :: banon -> administrator ::
2022-06-14 00:13:24 :: administrator -> :: 2006
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordscomputer vision
human motion analysis
object tracking
AbstractIn this paper, we propose different criteria for detecting unusual motion in surveillance cameras. Initially, a certain environment is observed within a time interval, and captured trajectories are used as examples of usual trajectories. These trajectories are used to build a Spatial Occupancy Map (SpOM, which is introduced in this paper) of the observed people, as well as main flow directions. In the test period, each new trajectory is classified as normal or unusual with respect to spatial occupancy and trajectory consistency. The spatial occupancy criterion considers the relation of space occupancy between the new tracked trajectory and the observed period. The trajectory consistency criterion considers the agreement of the new trajectory with the main flows extracted in the training period. Experimental results showed that these criteria can be used as an automatic pre-screening of suspect motion in surveillance applications.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Detection of Unusual...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Detection of Unusual...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/Mfvry
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/Mfvry
Languageen
Target Filejungc-unusual.pdf
User GroupJohnSoldera
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46RFT7E
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.00.20 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy 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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