Adaptive selection of model histograms in block-based background subtraction.
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| Title: | Adaptive selection of model histograms in block-based background subtraction. |
|---|---|
| Authors: | Kim, H.1, Ku, B.1, Han, D.K.2, Kang, S.1, Ko, H.1 |
| Source: | Electronics Letters (Institution of Engineering & Technology). 4/12/2012, Vol. 48 Issue 8, p434-435. 2p. 2 Color Photographs, 3 Charts. |
| Subjects: | Special effects in lighting, Optical resolution, Image segmentation, Simulated annealing |
| Abstract: | An adaptive block-based background modelling technique is proposed whereby the optimal number of model histograms is selected. The dynamic nature of a background tends to vary the pool of model histograms when capturing all possible scenes. Proposed is a novel method that recursively estimates the model weights, thereby continuously adjusting the number of histograms to robustly capture only the essence of intended objects. The proposed algorithm shows improved and reliable segmentation performance in various environments, including dynamic backgrounds with moving objects and repetitive variation of the pixel value. [ABSTRACT FROM AUTHOR] |
| Copyright of Electronics Letters (Institution of Engineering & Technology) is the property of Institution of Engineering & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 74217755 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Adaptive selection of model histograms in block-based background subtraction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kim%2C+H%2E%22">Kim, H.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ku%2C+B%2E%22">Ku, B.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Han%2C+D%2EK%2E%22">Han, D.K.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kang%2C+S%2E%22">Kang, S.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ko%2C+H%2E%22">Ko, H.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Electronics+Letters+%28Institution+of+Engineering+%26+Technology%29%22">Electronics Letters (Institution of Engineering & Technology)</searchLink>. 4/12/2012, Vol. 48 Issue 8, p434-435. 2p. 2 Color Photographs, 3 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Special+effects+in+lighting%22">Special effects in lighting</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+resolution%22">Optical resolution</searchLink><br /><searchLink fieldCode="DE" term="%22Image+segmentation%22">Image segmentation</searchLink><br /><searchLink fieldCode="DE" term="%22Simulated+annealing%22">Simulated annealing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: An adaptive block-based background modelling technique is proposed whereby the optimal number of model histograms is selected. The dynamic nature of a background tends to vary the pool of model histograms when capturing all possible scenes. Proposed is a novel method that recursively estimates the model weights, thereby continuously adjusting the number of histograms to robustly capture only the essence of intended objects. The proposed algorithm shows improved and reliable segmentation performance in various environments, including dynamic backgrounds with moving objects and repetitive variation of the pixel value. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Electronics Letters (Institution of Engineering & Technology) is the property of Institution of Engineering & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1049/el.2011.4068 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 2 StartPage: 434 Subjects: – SubjectFull: Special effects in lighting Type: general – SubjectFull: Optical resolution Type: general – SubjectFull: Image segmentation Type: general – SubjectFull: Simulated annealing Type: general Titles: – TitleFull: Adaptive selection of model histograms in block-based background subtraction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim, H. – PersonEntity: Name: NameFull: Ku, B. – PersonEntity: Name: NameFull: Han, D.K. – PersonEntity: Name: NameFull: Kang, S. – PersonEntity: Name: NameFull: Ko, H. IsPartOfRelationships: – BibEntity: Dates: – D: 12 M: 04 Text: 4/12/2012 Type: published Y: 2012 Identifiers: – Type: issn-print Value: 00135194 Numbering: – Type: volume Value: 48 – Type: issue Value: 8 Titles: – TitleFull: Electronics Letters (Institution of Engineering & Technology) Type: main |
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