Adaptively Splitted GMM With Feedback Improvement for the Task of Background Subtraction
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Year
: 2014DOI: 10.1109/TIFS.2014.2313919
Keyword(s): Gaussian processes,mixture models,video surveillance,adaptively splitted GMM,background subtraction,feedback improvement,memory requirements,per pixel adaptive Gaussian mixture models,region analysis based feedback,video surveillance,Adaptation models,Computational modeling,Convergence,Licenses,Mathematical model,Video surveillance,Gaussian mixture models,background subtraction,video surveillance
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Adaptively Splitted GMM With Feedback Improvement for the Task of Background Subtraction
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| contributor author | Evangelio, Ruben Heras | |
| contributor author | Patzold, Matthias | |
| contributor author | Keller, Ivo | |
| contributor author | Sikora, Thomas | |
| date accessioned | 2020-03-12T23:54:48Z | |
| date available | 2020-03-12T23:54:48Z | |
| date issued | 2014 | |
| identifier issn | 1556-6013 | |
| identifier other | 6778782.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1127844 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Adaptively Splitted GMM With Feedback Improvement for the Task of Background Subtraction | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8307854 | |
| subject keywords | Gaussian processes | |
| subject keywords | mixture models | |
| subject keywords | video surveillance | |
| subject keywords | adaptively splitted GMM | |
| subject keywords | background subtraction | |
| subject keywords | feedback improvement | |
| subject keywords | memory requirements | |
| subject keywords | per pixel adaptive Gaussian mixture models | |
| subject keywords | region analysis based feedback | |
| subject keywords | video surveillance | |
| subject keywords | Adaptation models | |
| subject keywords | Computational modeling | |
| subject keywords | Convergence | |
| subject keywords | Licenses | |
| subject keywords | Mathematical model | |
| subject keywords | Video surveillance | |
| subject keywords | Gaussian mixture models | |
| subject keywords | background subtraction | |
| subject keywords | video surveillance | |
| identifier doi | 10.1109/TIFS.2014.2313919 | |
| journal title | Information Forensics and Security, IEEE Transactions on | |
| journal volume | 9 | |
| journal issue | 5 | |
| filesize | 2014266 | |
| citations | 0 |


