Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update (English)
- New search for: Ramirez-Alonso, Graciela
- New search for: Ramirez-Quintana, Juan A.
- New search for: Chacon-Murguia, Mario I.
- New search for: Ramirez-Alonso, Graciela
- New search for: Ramirez-Quintana, Juan A.
- New search for: Chacon-Murguia, Mario I.
In:
Pattern Recognition Letters
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96
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34-44
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2017
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update
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Contributors:Ramirez-Alonso, Graciela ( author ) / Ramirez-Quintana, Juan A. ( author ) / Chacon-Murguia, Mario I. ( author )
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Published in:Pattern Recognition Letters ; 96 ; 34-44
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Publisher:
- New search for: Elsevier B.V.
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Publication date:2017-01-14
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Size:11 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 96
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Editorial–Scene background modeling and initializationPetrosino, Alfredo / Maddalena, Lucia / Bouwmans, Thierry et al. | 2017
- 3
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Scene background initialization: A taxonomyBouwmans, Thierry / Maddalena, Lucia / Petrosino, Alfredo et al. | 2016
- 12
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LaBGen: A method based on motion detection for generating the background of a sceneLaugraud, Benjamin / Piérard, Sébastien / Van Droogenbroeck, Marc et al. | 2016
- 22
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Matrix and tensor completion algorithms for background model initialization: A comparative evaluationSobral, Andrews / Zahzah, El-hadi et al. | 2016
- 34
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Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters updateRamirez-Alonso, Graciela / Ramirez-Quintana, Juan A. / Chacon-Murguia, Mario I. et al. | 2017
- 45
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Parallel multi-modal background modelingBloisi, Domenico D. / Pennisi, Andrea / Iocchi, Luca et al. | 2016
- 55
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Background estimation by weightless neural networksDe Gregorio, Massimo / Giordano, Maurizio et al. | 2017
- 66
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Interactive deep learning method for segmenting moving objectsWang, Yi / Luo, Zhiming / Jodoin, Pierre-Marc et al. | 2016
- 76
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Modeling depth for nonparametric foreground segmentation using RGBD devicesMoyà-Alcover, Gabriel / Elgammal, Ahmed / Jaume-i-Capó, Antoni / Varona, Javier et al. | 2016
- 86
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Adaptive background model registration for moving camerasMinematsu, Tsubasa / Uchiyama, Hideaki / Shimada, Atsushi / Nagahara, Hajime / Taniguchi, Rin-ichiro et al. | 2017
- 96
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A keypoint-based method for background modeling and foreground detection using a PTZ cameraAvola, Danilo / Cinque, Luigi / Foresti, Gian Luca / Massaroni, Cristiano / Pannone, Daniele et al. | 2016
- 106
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Improving pedestrian detection using motion-guided filteringWang, Yi / Piérard, Sébastien / Su, Song-Zhi / Jodoin, Pierre-Marc et al. | 2016
- IFC
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Editorial Board| 2016