1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3K2MKA8 |
Repository | sid.inpe.br/sibgrapi/2015/08.07.18.55 |
Last Update | 2015:08.07.18.55.51 (UTC) antonio.nazare@dcc.ufmg.br |
Metadata Repository | sid.inpe.br/sibgrapi/2015/08.07.18.55.51 |
Metadata Last Update | 2022:05.18.22.21.02 (UTC) administrator |
Citation Key | NazaréJrFerrSchw:2015:ScVeFr |
Title | A Scalable and Versatile Framework for Smart Video Surveillance |
Format | On-line |
Year | 2015 |
Access Date | 2024, May 05 |
Secondary Type | Master's Work |
Number of Files | 1 |
Size | 961 KiB |
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2. Context | |
Author | 1 Nazaré Jr., Antonio Carlos 2 Ferreira, Renato Antonio Celso 3 Schwartz, William Robson |
Affiliation | 1 Universidade Federal de Minas Gerais 2 Universidade Federal de Minas Gerais 3 Universidade Federal de Minas Gerais |
Editor | Segundo, Maurício Pamplona Faria, Fabio Augusto |
e-Mail Address | antonio.nazare@dcc.ufmg.br |
Conference Name | Conference on Graphics, Patterns and Images, 28 (SIBGRAPI) |
Conference Location | Salvador, BA, Brazil |
Date | 26-29 Aug. 2015 |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Book Title | Proceedings |
Tertiary Type | Master's or Doctoral Work |
History (UTC) | 2015-08-07 18:55:51 :: antonio.nazare@dcc.ufmg.br -> administrator :: 2022-05-18 22:21:02 :: administrator -> :: 2015 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | Smart~Surveillance~Framework Surveillance Systems Computer Vision Video Analysis Video Surveillance |
Abstract | The large amount of visual data generated by surveillance cameras is usually analyzed manually, a challenging task which is labor intensive and prone to errors. Therefore, automatic approaches must be employed to enable the proper processing of the visual data. The main goal of automated surveillance systems is to analyze the scene focusing on the detection and recognition of suspicious activities. However, these systems are rarely tackled in a scalable manner. With that in mind, this Masters thesis proposed a framework for scalable video analysis called Smart Surveillance Framework (SSF) to allow researchers to implement their solutions to the surveillance problems as a sequence of processing modules that communicate through a shared memory. The framework provides useful features to the researchers, such as memory management to allow handling large amounts of data, communication control among execution modules, predefined data structures specifically designed for the surveillance environment and management of multiple data input. Our experimental results evaluate important aspects of the Smart Surveillance Framework (SSF) and demonstrate the scalability of the framework, the lower overhead caused by the communication between the modules and the shared memory and the high performance of our feature extraction mechanism. |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2015 > A Scalable and... |
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/3K2MKA8 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3K2MKA8 |
Language | en |
Target File | article.pdf |
User Group | antonio.nazare@dcc.ufmg.br |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPBW34M/3K24PF8 |
Citing Item List | sid.inpe.br/sibgrapi/2015/08.03.22.49 8 sid.inpe.br/banon/2001/03.30.15.38.24 1 |
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 doi 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 serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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