Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/3EDLD6H |
Repository | sid.inpe.br/sibgrapi/2013/07.05.19.01 |
Last Update | 2013:07.05.19.01.14 iralmeida@inf.ufrgs.br |
Metadata | sid.inpe.br/sibgrapi/2013/07.05.19.01.14 |
Metadata Last Update | 2020:02.19.03.09.22 administrator |
Citation Key | AlmeidaJung:2013:ChDeHu |
Title | Change detection in human crowds  |
Format | On-line. |
Year | 2013 |
Date | Aug. 5-8, 2013 |
Access Date | 2021, Jan. 19 |
Number of Files | 1 |
Size | 10550 KiB |
Context area | |
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 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2013-07-05 19:01:14 :: iralmeida@inf.ufrgs.br -> administrator :: 2020-02-19 03:09:22 :: administrator -> :: 2013 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
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. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/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 |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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