1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3EDLD6H |
Repository | sid.inpe.br/sibgrapi/2013/07.05.19.01 |
Last Update | 2013:07.05.19.01.14 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2013/07.05.19.01.14 |
Metadata Last Update | 2022:06.14.00.07.44 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2013.18 |
Citation Key | AlmeidaJung:2013:ChDeHu |
Title | Change detection in human crowds |
Format | On-line. |
Year | 2013 |
Access Date | 2024, May 01 |
Number of Files | 1 |
Size | 10550 KiB |
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2. Context | |
Author | 1 Almeida, Igor Rodrigues de 2 Jung, Claudio Rosito |
Affiliation | 1 Federal University of Rio Grande do Sul 2 Federal University of Rio Grande do Sul |
Editor | Boyer, Kim Hirata, Nina Nedel, Luciana Silva, Claudio |
e-Mail Address | iralmeida@inf.ufrgs.br |
Conference Name | Conference on Graphics, Patterns and Images, 26 (SIBGRAPI) |
Conference Location | Arequipa, Peru |
Date | 5-8 Aug. 2013 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2013-07-05 19:01:14 :: iralmeida@inf.ufrgs.br -> administrator :: 2022-06-14 00:07:44 :: administrator -> :: 2013 |
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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 | Crowd analysis Unusual event detection Video surveillance |
Abstract | This paper presents a method to detect unusual behavior in human crowds based on histograms of velocities in world coordinates. A combination of background removal and optical flow is used to extract the global motion at each image frame, discarding small motion vectors due artifacts such as noise, non-stationary background pixels and compression issues. Using a calibrated camera, the global motion can be estimated, and it is used to build a 2D histogram containing information of speed and direction for all frames. Each frame is compared with a set of previous frames by using a histogram comparison metric, resulting in a similarity vector. This vector is then used to determine changes in the crowd behavior, also allowing a classification based on the nature of the change in time: short or long-term changes. The method was tested on publicly available datasets involving crowded scenarios. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2013 > Change detection in... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Change detection in... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3EDLD6H |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3EDLD6H |
Language | en |
Target File | PID2848451.pdf |
User Group | iralmeida@inf.ufrgs.br |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/46SLB4P 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.15.04.02 8 |
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 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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