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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
Scene background initialization: A taxonomy. 3-11 - Benjamin Laugraud
LaBGen: A method based on motion detection for generating the background of a scene. 12-21 - Andrews Sobral
Matrix and tensor completion algorithms for background model initialization: A comparative evaluation. 22-33 - Graciela María de Jesús Ramírez Alonso
Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update. 34-44 - Domenico Daniele Bloisi
Parallel multi-modal background modeling. 45-54 - Massimo De Gregorio, Maurizio Giordano
Background estimation by weightless neural networks. 55-65 - Yi Wang, Zhiming Luo
Interactive deep learning method for segmenting moving objects. 66-75 - Gabriel Moyà Alcover, Ahmed Elgammal
Modeling depth for nonparametric foreground segmentation using RGBD devices. 76-85 - Tsubasa Minematsu, Hideaki Uchiyama, Atsushi Shimada
Adaptive background model registration for moving cameras. 86-95 - Danilo Avola
A keypoint-based method for background modeling and foreground detection using a PTZ camera. 96-105 - Yi Wang, Sébastien Piérard
Improving pedestrian detection using motion-guided filtering. 106-112
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