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...
| Autores Principales: | Cáceres Hernández, Danilo, Hyun Jo, Kang, Filonenko, Alexander |
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| Formato: | Artículo |
| Idioma: | Inglés |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: |
https://ieeexplore.ieee.org/abstract/document/7103719/ http://ridda2.utp.ac.pa/handle/123456789/5084 http://ridda2.utp.ac.pa/handle/123456789/5084 |
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RepoUTP5084 |
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| recordtype |
dspace |
| spelling |
RepoUTP50842021-07-06T15:34:54Z Smoke detection for static cameras Cáceres Hernández, Danilo Hyun Jo, Kang Filonenko, Alexander Image color analysis Cameras, Image edge detection Videos Image resolution Morphology Probability Image color analysis Cameras, Image edge detection Videos Image resolution Morphology Probability 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. 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. 2018-06-28T20:38:51Z 2018-06-28T20:38:51Z 2018-06-28T20:38:51Z 2018-06-28T20:38:51Z 01/28/2015 01/28/2015 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://ieeexplore.ieee.org/abstract/document/7103719/ http://ridda2.utp.ac.pa/handle/123456789/5084 http://ridda2.utp.ac.pa/handle/123456789/5084 eng info:eu-repo/semantics/embargoedAccess application/pdf text/html |
| institution |
Universidad Tecnológica de Panamá |
| collection |
Repositorio UTP – Ridda2 |
| language |
Inglés |
| 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 |
| spellingShingle |
Image color analysis Cameras, Image edge detection Videos Image resolution Morphology Probability Image color analysis Cameras, Image edge detection Videos Image resolution Morphology Probability Cáceres Hernández, Danilo Hyun Jo, Kang Filonenko, Alexander Smoke detection for static cameras |
| 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. |
| format |
Artículo |
| author |
Cáceres Hernández, Danilo Hyun Jo, Kang Filonenko, Alexander |
| author_sort |
Cáceres Hernández, Danilo |
| title |
Smoke detection for static cameras |
| title_short |
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_sort |
smoke detection for static cameras |
| publishDate |
2018 |
| url |
https://ieeexplore.ieee.org/abstract/document/7103719/ http://ridda2.utp.ac.pa/handle/123456789/5084 http://ridda2.utp.ac.pa/handle/123456789/5084 |
| _version_ |
1796209800511488000 |
| score |
12.040689 |