Smoke detection for static cameras
This paper describes the smoke detection for static cameras. The background subtraction was used to determine moving objects. Color characteristics were utilized to distinguish smoke regions and other scene members. Separate pixels were united into blobs by morphology operations and connected compon...
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| Natura: | article |
| Lingua: | inglese |
| Pubblicazione: |
2018
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| Accesso online: | https://ieeexplore.ieee.org/abstract/document/7103719/ http://ridda2.utp.ac.pa/handle/123456789/5084 |
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| _version_ | 1869652476343353344 |
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| author | Cáceres Hernández, Danilo |
| author2 | Hyun Jo, Kang Filonenko, Alexander |
| author2_role | author author |
| author_browse | Cáceres Hernández, Danilo Filonenko, Alexander Hyun Jo, Kang |
| author_facet | Cáceres Hernández, Danilo Hyun Jo, Kang Filonenko, Alexander |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Cáceres Hernández, Danilo Hyun Jo, Kang Filonenko, Alexander |
| dc.date.none.fl_str_mv | 01/28/2015 01/28/2015 2018-06-28T20:38:51Z 2018-06-28T20:38:51Z 2018-06-28T20:38:51Z 2018-06-28T20:38:51Z |
| dc.format.none.fl_str_mv | application/pdf text/html |
| dc.identifier.none.fl_str_mv | https://ieeexplore.ieee.org/abstract/document/7103719/ http://ridda2.utp.ac.pa/handle/123456789/5084 http://ridda2.utp.ac.pa/handle/123456789/5084 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/embargoedAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.subject.none.fl_str_mv | Image color analysis Cameras, Image edge detection Videos Image resolution Morphology Probability Image color analysis Cameras, Image edge detection Videos Image resolution Morphology Probability |
| dc.title.none.fl_str_mv | Smoke detection for static cameras |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | This paper describes the smoke detection for static cameras. The background subtraction was used to determine moving objects. Color characteristics were utilized to distinguish smoke regions and other scene members. Separate pixels were united into blobs by morphology operations and connected components labeling methods. The image is then refined by boundary roughness and edge density to decrease amount of false detections. Results of the current frame are compared to the previous one in order to check the behavior of objects in time domain. |
| eu_rights_str_mv | embargoedAccess |
| format | article |
| id | lrtest_de4355437fed5f88b5c1e5e5d415f66a |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| network_acronym_str | lrtest |
| network_name_str | lr |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/5084 |
| publishDate | 2018 |
| publishDateSort | 2018 |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Smoke detection for static camerasCáceres Hernández, DaniloHyun Jo, KangFilonenko, AlexanderImage color analysisCameras,Image edge detectionVideosImage resolutionMorphologyProbabilityImage color analysisCameras,Image edge detectionVideosImage resolutionMorphologyProbabilityThis paper describes the smoke detection for static cameras. The background subtraction was used to determine moving objects. Color characteristics were utilized to distinguish smoke regions and other scene members. Separate pixels were united into blobs by morphology operations and connected components labeling methods. The image is then refined by boundary roughness and edge density to decrease amount of false detections. Results of the current frame are compared to the previous one in order to check the behavior of objects in time domain.This paper describes the smoke detection for static cameras. The background subtraction was used to determine moving objects. Color characteristics were utilized to distinguish smoke regions and other scene members. Separate pixels were united into blobs by morphology operations and connected components labeling methods. The image is then refined by boundary roughness and edge density to decrease amount of false detections. Results of the current frame are compared to the previous one in order to check the behavior of objects in time domain.2018-06-28T20:38:51Z2018-06-28T20:38:51Z2018-06-28T20:38:51Z2018-06-28T20:38:51Z01/28/201501/28/2015info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://ieeexplore.ieee.org/abstract/document/7103719/http://ridda2.utp.ac.pa/handle/123456789/5084http://ridda2.utp.ac.pa/handle/123456789/5084enginfo:eu-repo/semantics/embargoedAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/50842021-07-06T15:34:54Z |
| spellingShingle | Smoke detection for static cameras Cáceres Hernández, Danilo Image color analysis Cameras, Image edge detection Videos Image resolution Morphology Probability Image color analysis Cameras, Image edge detection Videos Image resolution Morphology Probability |
| status_str | publishedVersion |
| title | Smoke detection for static cameras |
| title_full | Smoke detection for static cameras |
| title_fullStr | Smoke detection for static cameras |
| title_full_unstemmed | Smoke detection for static cameras |
| title_short | Smoke detection for static cameras |
| title_sort | Smoke detection for static cameras |
| topic | Image color analysis Cameras, Image edge detection Videos Image resolution Morphology Probability Image color analysis Cameras, Image edge detection Videos Image resolution Morphology Probability |
| url | https://ieeexplore.ieee.org/abstract/document/7103719/ http://ridda2.utp.ac.pa/handle/123456789/5084 |