Academic Journal
Data-driven background subtraction algorithm for in-camera acceleration in thermal imagery
| Title: | Data-driven background subtraction algorithm for in-camera acceleration in thermal imagery |
|---|---|
| Authors: | Makantasis, Konstantinos, Nikitakis, Antonios, Doulamis, Anastasios D., Doulamis, Nikolaos D., Papaefstathiou, Ioannis |
| Publisher Information: | Institute of Electrical and Electronics Engineers |
| Publication Year: | 2018 |
| Collection: | University of Malta: OAR@UM / L-Università ta' Malta |
| Subject Terms: | Infrared imaging -- Data processing, Optical data processing, Image processing -- Digital techniques, Gaussian processes -- Data processing, Field programmable gate arrays |
| Description: | Detection of moving objects in videos is a crucial step toward successful surveillance and monitoring applications. A key component for such tasks is called background subtraction and tries to extract regions of interest from the image background for further processing or action. For this reason, its accuracy and real-time performance are of great significance. Although effective background subtraction methods have been proposed, only a few of them take into consideration the special characteristics of thermal imagery. In this paper, we propose a background subtraction scheme, which models the thermal responses of each pixel as a mixture of Gaussians with unknown number of components. Following a Bayesian approach, our method automatically estimates the mixture structure, while simultaneously it avoids over-/underfitting. The pixel density estimate is followed by an efficient and highly accurate updating mechanism, which permits our system to be automatically adapted to dynamically changing operation conditions. We propose a reference implementation of our method in reconfigurable hardware achieving both adequate performance and low-power consumption. Adopting a high-level synthesis design and demanding floating point arithmetic operations are mapped in reconfigurable hardware, demonstrating fast prototyping and on-field customization at the same time. ; peer-reviewed |
| Document Type: | article in journal/newspaper |
| Language: | English |
| Relation: | https://www.um.edu.mt/library/oar/handle/123456789/125408 |
| DOI: | 10.1109/TCSVT.2017.2711259 |
| Availability: | https://www.um.edu.mt/library/oar/handle/123456789/125408 https://doi.org/10.1109/TCSVT.2017.2711259 |
| Rights: | info:eu-repo/semantics/restrictedAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. |
| Accession Number: | edsbas.7D6FC9EC |
| Database: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://www.um.edu.mt/library/oar/handle/123456789/125408# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| Items | – Name: Title Label: Title Group: Ti Data: Data-driven background subtraction algorithm for in-camera acceleration in thermal imagery – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Makantasis%2C+Konstantinos%22">Makantasis, Konstantinos</searchLink><br /><searchLink fieldCode="AR" term="%22Nikitakis%2C+Antonios%22">Nikitakis, Antonios</searchLink><br /><searchLink fieldCode="AR" term="%22Doulamis%2C+Anastasios+D%2E%22">Doulamis, Anastasios D.</searchLink><br /><searchLink fieldCode="AR" term="%22Doulamis%2C+Nikolaos+D%2E%22">Doulamis, Nikolaos D.</searchLink><br /><searchLink fieldCode="AR" term="%22Papaefstathiou%2C+Ioannis%22">Papaefstathiou, Ioannis</searchLink> – Name: Publisher Label: Publisher Information Group: PubInfo Data: Institute of Electrical and Electronics Engineers – Name: DatePubCY Label: Publication Year Group: Date Data: 2018 – Name: Subset Label: Collection Group: HoldingsInfo Data: University of Malta: OAR@UM / L-Università ta' Malta – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Infrared+imaging+--+Data+processing%22">Infrared imaging -- Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+data+processing%22">Optical data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing+--+Digital+techniques%22">Image processing -- Digital techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Gaussian+processes+--+Data+processing%22">Gaussian processes -- Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Field+programmable+gate+arrays%22">Field programmable gate arrays</searchLink> – Name: Abstract Label: Description Group: Ab Data: Detection of moving objects in videos is a crucial step toward successful surveillance and monitoring applications. A key component for such tasks is called background subtraction and tries to extract regions of interest from the image background for further processing or action. For this reason, its accuracy and real-time performance are of great significance. Although effective background subtraction methods have been proposed, only a few of them take into consideration the special characteristics of thermal imagery. In this paper, we propose a background subtraction scheme, which models the thermal responses of each pixel as a mixture of Gaussians with unknown number of components. Following a Bayesian approach, our method automatically estimates the mixture structure, while simultaneously it avoids over-/underfitting. The pixel density estimate is followed by an efficient and highly accurate updating mechanism, which permits our system to be automatically adapted to dynamically changing operation conditions. We propose a reference implementation of our method in reconfigurable hardware achieving both adequate performance and low-power consumption. Adopting a high-level synthesis design and demanding floating point arithmetic operations are mapped in reconfigurable hardware, demonstrating fast prototyping and on-field customization at the same time. ; peer-reviewed – Name: TypeDocument Label: Document Type Group: TypDoc Data: article in journal/newspaper – Name: Language Label: Language Group: Lang Data: English – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: https://www.um.edu.mt/library/oar/handle/123456789/125408 – Name: DOI Label: DOI Group: ID Data: 10.1109/TCSVT.2017.2711259 – Name: URL Label: Availability Group: URL Data: https://www.um.edu.mt/library/oar/handle/123456789/125408<br />https://doi.org/10.1109/TCSVT.2017.2711259 – Name: Copyright Label: Rights Group: Cpyrght Data: info:eu-repo/semantics/restrictedAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. – Name: AN Label: Accession Number Group: ID Data: edsbas.7D6FC9EC |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TCSVT.2017.2711259 Languages: – Text: English Subjects: – SubjectFull: Infrared imaging -- Data processing Type: general – SubjectFull: Optical data processing Type: general – SubjectFull: Image processing -- Digital techniques Type: general – SubjectFull: Gaussian processes -- Data processing Type: general – SubjectFull: Field programmable gate arrays Type: general Titles: – TitleFull: Data-driven background subtraction algorithm for in-camera acceleration in thermal imagery Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Makantasis, Konstantinos – PersonEntity: Name: NameFull: Nikitakis, Antonios – PersonEntity: Name: NameFull: Doulamis, Anastasios D. – PersonEntity: Name: NameFull: Doulamis, Nikolaos D. – PersonEntity: Name: NameFull: Papaefstathiou, Ioannis IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2018 Identifiers: – Type: issn-locals Value: edsbas |
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