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» Super-Resolution on Moving Objects and Background
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73
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AVSS
2006
IEEE
15 years 3 months ago
Dynamic Control of Adaptive Mixture-of-Gaussians Background Model
We propose a method for create a background model in non-stationary scenes. Each pixel has a dynamic Gaussian mixture model. Our approach can automatically change the number of Ga...
Atsushi Shimada, Daisaku Arita, Rin-ichiro Taniguc...
82
Voted
PRIS
2003
14 years 11 months ago
A Comparison of Line Detectors for Image Background Modelling
Abstract. In the context of multimedia data analysis, it is often necessary to understand what happens in a scene, which can rely on detecting and tracking the different moving obj...
Sébastien Lefèvre, Cédric Jeu...
71
Voted
ICPR
2008
IEEE
15 years 4 months ago
Back to the future: Robust foreground extraction with reversed-time background modeling
“Ghosts” arise in traditional background subtraction when an object starts to move, causing the exposed background to be labelled as a ghost foreground. With background model ...
Akhilesh Kumar Sinha, Prithwijit Guha, Amitabha Mu...
CVPR
2006
IEEE
15 years 11 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
99
Voted
AIPR
2000
IEEE
15 years 1 months ago
Moving Object Tracking in Video
The advance of technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compare...
Yiwei Wang, John F. Doherty, Robert E. Van Dyck