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Pattern Recognition Letters, Volume 96
Volume 96, September 2017
- Alfredo Petrosino, Lucia Maddalena
, Thierry Bouwmans
:
Editorial-Scene background modeling and initialization. 1-2 - Thierry Bouwmans
, Lucia Maddalena
, Alfredo Petrosino:
Scene background initialization: A taxonomy. 3-11 - Benjamin Laugraud
, Sébastien Piérard
, Marc Van Droogenbroeck
:
LaBGen: A method based on motion detection for generating the background of a scene. 12-21 - Andrews Sobral
, El-hadi Zahzah:
Matrix and tensor completion algorithms for background model initialization: A comparative evaluation. 22-33 - Graciela María de Jesús Ramírez Alonso
, Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia:
Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update. 34-44 - Domenico Daniele Bloisi
, Andrea Pennisi
, Luca Iocchi
:
Parallel multi-modal background modeling. 45-54 - Massimo De Gregorio, Maurizio Giordano
:
Background estimation by weightless neural networks. 55-65 - Yi Wang, Zhiming Luo
, Pierre-Marc Jodoin:
Interactive deep learning method for segmenting moving objects. 66-75 - Gabriel Moyà Alcover, Ahmed Elgammal
, Antoni Jaume-i-Capó
, Javier Varona
:
Modeling depth for nonparametric foreground segmentation using RGBD devices. 76-85 - Tsubasa Minematsu, Hideaki Uchiyama, Atsushi Shimada
, Hajime Nagahara, Rin-Ichiro Taniguchi:
Adaptive background model registration for moving cameras. 86-95 - Danilo Avola
, Luigi Cinque, Gian Luca Foresti
, Cristiano Massaroni
, Daniele Pannone
:
A keypoint-based method for background modeling and foreground detection using a PTZ camera. 96-105 - Yi Wang, Sébastien Piérard
, Song-Zhi Su, Pierre-Marc Jodoin:
Improving pedestrian detection using motion-guided filtering. 106-112

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