| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Adaptive background model registration for moving cameras
|
Minematsu, Tsubasa
|
|
2017
|
96 |
C |
p. 86-95
10 p.
|
artikel
|
| 2 |
A keypoint-based method for background modeling and foreground detection using a PTZ camera
|
Avola, Danilo
|
|
2017
|
96 |
C |
p. 96-105
10 p.
|
artikel
|
| 3 |
Background estimation by weightless neural networks
|
De Gregorio, Massimo
|
|
2017
|
96 |
C |
p. 55-65
11 p.
|
artikel
|
| 4 |
Editorial Board
|
|
|
2017
|
96 |
C |
p. IFC-
1 p.
|
artikel
|
| 5 |
Editorial–Scene background modeling and initialization
|
Petrosino, Alfredo
|
|
2017
|
96 |
C |
p. 1-2
2 p.
|
artikel
|
| 6 |
Improving pedestrian detection using motion-guided filtering
|
Wang, Yi
|
|
2017
|
96 |
C |
p. 106-112
7 p.
|
artikel
|
| 7 |
Interactive deep learning method for segmenting moving objects
|
Wang, Yi
|
|
2017
|
96 |
C |
p. 66-75
10 p.
|
artikel
|
| 8 |
LaBGen: A method based on motion detection for generating the background of a scene
|
Laugraud, Benjamin
|
|
2017
|
96 |
C |
p. 12-21
10 p.
|
artikel
|
| 9 |
Matrix and tensor completion algorithms for background model initialization: A comparative evaluation
|
Sobral, Andrews
|
|
2017
|
96 |
C |
p. 22-33
12 p.
|
artikel
|
| 10 |
Modeling depth for nonparametric foreground segmentation using RGBD devices
|
Moyà-Alcover, Gabriel
|
|
2017
|
96 |
C |
p. 76-85
10 p.
|
artikel
|
| 11 |
Parallel multi-modal background modeling
|
Bloisi, Domenico D.
|
|
2017
|
96 |
C |
p. 45-54
10 p.
|
artikel
|
| 12 |
Scene background initialization: A taxonomy
|
Bouwmans, Thierry
|
|
2017
|
96 |
C |
p. 3-11
9 p.
|
artikel
|
| 13 |
Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update
|
Ramirez-Alonso, Graciela
|
|
2017
|
96 |
C |
p. 34-44
11 p.
|
artikel
|
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