Real-time flood detection for video surveillance
This paper introduces the real-time flash flood detection method for stationary surveillance cameras. It can be applied for rural and urban areas and capable of working during day time. The background subtraction was used to detect all changes appear in a scene. After this step, many pixel belonging...
I tiakina i:
| Kaituhi matua: | |
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| Ētahi atu kaituhi: | , , |
| Hōputu: | article |
| Reo: | Ingarihi |
| I whakaputaina: |
2018
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| Ngā marau: | |
| Urunga tuihono: | https://ieeexplore.ieee.org/abstract/document/7392736/ http://ridda2.utp.ac.pa/handle/123456789/5091 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1869652468566065152 |
|---|---|
| author | Cáceres Hernández, Danilo |
| author2 | Hyun Jo, Kang Filonenko, Alexander Seo, Dongwook |
| author2_role | author author author |
| author_browse | Cáceres Hernández, Danilo Filonenko, Alexander Hyun Jo, Kang Seo, Dongwook |
| author_facet | Cáceres Hernández, Danilo Hyun Jo, Kang Filonenko, Alexander Seo, Dongwook |
| 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 Seo, Dongwook |
| dc.date.none.fl_str_mv | 11/09/2015 11/09/2015 2018-06-29T21:27:03Z 2018-06-29T21:27:03Z 2018-06-29T21:27:03Z 2018-06-29T21:27:03Z |
| dc.format.none.fl_str_mv | application/pdf text/html |
| dc.identifier.none.fl_str_mv | https://ieeexplore.ieee.org/abstract/document/7392736/ http://ridda2.utp.ac.pa/handle/123456789/5091 http://ridda2.utp.ac.pa/handle/123456789/5091 |
| 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 Real-time systems Graphics processing units Probability Surveillance Floods Image color analysis Cameras Real-time systems Graphics processing units Probability Surveillance Floods |
| dc.title.none.fl_str_mv | Real-time flood detection for video surveillance |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | This paper introduces the real-time flash flood detection method for stationary surveillance cameras. It can be applied for rural and urban areas and capable of working during day time. The background subtraction was used to detect all changes appear in a scene. After this step, many pixel belonging to the same moving objects may be divided. They are united by morphological closing. Too small separate objects are then removed form the scene. Color probability was calculated for all the pixels belonging to a foreground mask and connected components with low probability value were filtered out. Finally, results were improved by edge density and boundary roughness. The most time consuming step was implemented in parallel using CUDA. Real-time performance was achieved in this way. The algorithm was tested on publicly accepted video. |
| eu_rights_str_mv | embargoedAccess |
| format | article |
| id | lrtest_7ff839216357641cb4b7ad1d18e2b6f8 |
| 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:123456789/5091 |
| 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 | Real-time flood detection for video surveillanceCáceres Hernández, DaniloHyun Jo, KangFilonenko, AlexanderSeo, DongwookImage color analysisCamerasReal-time systemsGraphics processing unitsProbabilitySurveillanceFloodsImage color analysisCamerasReal-time systemsGraphics processing unitsProbabilitySurveillanceFloodsThis paper introduces the real-time flash flood detection method for stationary surveillance cameras. It can be applied for rural and urban areas and capable of working during day time. The background subtraction was used to detect all changes appear in a scene. After this step, many pixel belonging to the same moving objects may be divided. They are united by morphological closing. Too small separate objects are then removed form the scene. Color probability was calculated for all the pixels belonging to a foreground mask and connected components with low probability value were filtered out. Finally, results were improved by edge density and boundary roughness. The most time consuming step was implemented in parallel using CUDA. Real-time performance was achieved in this way. The algorithm was tested on publicly accepted video.This paper introduces the real-time flash flood detection method for stationary surveillance cameras. It can be applied for rural and urban areas and capable of working during day time. The background subtraction was used to detect all changes appear in a scene. After this step, many pixel belonging to the same moving objects may be divided. They are united by morphological closing. Too small separate objects are then removed form the scene. Color probability was calculated for all the pixels belonging to a foreground mask and connected components with low probability value were filtered out. Finally, results were improved by edge density and boundary roughness. The most time consuming step was implemented in parallel using CUDA. Real-time performance was achieved in this way. The algorithm was tested on publicly accepted video.2018-06-29T21:27:03Z2018-06-29T21:27:03Z2018-06-29T21:27:03Z2018-06-29T21:27:03Z11/09/201511/09/2015info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://ieeexplore.ieee.org/abstract/document/7392736/http://ridda2.utp.ac.pa/handle/123456789/5091http://ridda2.utp.ac.pa/handle/123456789/5091enginfo: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:123456789/50912021-07-06T15:34:54Z |
| spellingShingle | Real-time flood detection for video surveillance Cáceres Hernández, Danilo Image color analysis Cameras Real-time systems Graphics processing units Probability Surveillance Floods Image color analysis Cameras Real-time systems Graphics processing units Probability Surveillance Floods |
| status_str | publishedVersion |
| title | Real-time flood detection for video surveillance |
| title_full | Real-time flood detection for video surveillance |
| title_fullStr | Real-time flood detection for video surveillance |
| title_full_unstemmed | Real-time flood detection for video surveillance |
| title_short | Real-time flood detection for video surveillance |
| title_sort | Real-time flood detection for video surveillance |
| topic | Image color analysis Cameras Real-time systems Graphics processing units Probability Surveillance Floods Image color analysis Cameras Real-time systems Graphics processing units Probability Surveillance Floods |
| url | https://ieeexplore.ieee.org/abstract/document/7392736/ http://ridda2.utp.ac.pa/handle/123456789/5091 |