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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3JMP3KB
Repositorysid.inpe.br/sibgrapi/2015/06.19.21.42
Last Update2015:06.19.21.42.54 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2015/06.19.21.42.54
Metadata Last Update2022:06.14.00.08.12 (UTC) administrator
DOI10.1109/SIBGRAPI.2015.19
Citation KeyChinoAvalRodrTrai:2015:DeFiSt
TitleBoWFire: detection of fire in still images by integrating pixel color and texture analysis
FormatOn-line
Year2015
Access Date2024, Apr. 28
Number of Files1
Size1705 KiB
2. Context
Author1 Chino, Daniel Yashinobu Takada
2 Avalhais, Letricia Pereira Soares
3 Rodrigues Junior, Jose Fernando
4 Traina, Agma Juci Machado
Affiliation1 University of Sao Paulo
2 University of Sao Paulo
3 University of Sao Paulo
4 University of Sao Paulo
EditorPapa, Joćo Paulo
Sander, Pedro Vieira
Marroquim, Ricardo Guerra
Farrell, Ryan
e-Mail Addressletriciapsa@gmail.com
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador, BA, Brazil
Date26-29 Aug. 2015
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2015-06-19 21:42:54 :: letriciapsa@gmail.com -> administrator ::
2022-06-14 00:08:12 :: administrator -> :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsfire detection
still images
pixel-color classification
texture feature
AbstractEmergency events involving fire are potentially harmful, demanding a fast and precise decision making. The use of crowdsourcing image and videos on crisis management systems can aid in these situations by providing more information than verbal/textual descriptions. Due to the usual high volume of data, automatic solutions need to discard non-relevant content without losing relevant information. There are several methods for fire detection on video using color-based models. However, they are not adequate for still image processing, because they can suffer on high false-positive results. These methods also suffer from parameters with little physical meaning, which makes fine tuning a difficult task. In this context, we propose a novel fire detection method for still images that uses classification based on color features combined with texture classification on superpixel regions. Our method uses a reduced number of parameters if compared to previous works, easing the process of fine tuning the method. Results show the effectiveness of our method of reducing false-positives while its precision remains compatible with the state-of-the-art methods.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2015 > BoWFire: detection of...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > BoWFire: detection of...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3JMP3KB
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JMP3KB
Languageen
Target FilePID3758331_cameraReady.pdf
User Groupletriciapsa@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2015/08.03.22.49 5
sid.inpe.br/banon/2001/03.30.15.38.24 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination 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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