Cut set-based Dynamic Key frame selection and Adaptive Layer-based Background Modeling for background subtraction
• Background subtraction technique based on adaptive layer strategy. • Key frame selection process is introduced to reduces computational complexity. • Symmetry operators are used to predict the similarity between every block of pixels. • Highly similar patches are set as background at the time of b...
Ausführliche Beschreibung
Autor*in: |
Jeyabharathi, D. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Schlagwörter: |
Cut set-based Dynamic Key frame selection |
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Umfang: |
13 |
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Übergeordnetes Werk: |
Enthalten in: Propolis as lipid bioactive nano-carrier for topical nasal drug delivery - Rassu, Giovanna ELSEVIER, 2015, Orlando, Fla |
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Übergeordnetes Werk: |
volume:55 ; year:2018 ; pages:434-446 ; extent:13 |
Links: |
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DOI / URN: |
10.1016/j.jvcir.2018.06.024 |
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ELV043995950 |
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Cut set-based Dynamic Key frame selection and Adaptive Layer-based Background Modeling for background subtraction |
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• Background subtraction technique based on adaptive layer strategy. • Key frame selection process is introduced to reduces computational complexity. • Symmetry operators are used to predict the similarity between every block of pixels. • Highly similar patches are set as background at the time of background modeling. |
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• Background subtraction technique based on adaptive layer strategy. • Key frame selection process is introduced to reduces computational complexity. • Symmetry operators are used to predict the similarity between every block of pixels. • Highly similar patches are set as background at the time of background modeling. |
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title_short |
Cut set-based Dynamic Key frame selection and Adaptive Layer-based Background Modeling for background subtraction |
url |
https://doi.org/10.1016/j.jvcir.2018.06.024 |
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doi_str |
10.1016/j.jvcir.2018.06.024 |
up_date |
2024-07-06T20:18:19.113Z |
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