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» Extracting Foreground Masks towards Object Recognition
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ICCV
2011
IEEE
12 years 4 months ago
Extracting Foreground Masks towards Object Recognition
Amir Rosenfeld, Daphna Weinshall
CORR
2011
Springer
222views Education» more  CORR 2011»
12 years 8 months ago
Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs
Abstract. We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint shape and appearance of foreground objects in cluttered images to be modeled indep...
Nicolas Heess, Nicolas Le Roux, John M. Winn
MLMI
2005
Springer
13 years 10 months ago
Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking
Abstract. Object localization and tracking are key issues in the analysis of scenes for video surveillance or scene understanding applications. This paper presents a contribution t...
José Luis Landabaso, Montse Pardàs
ICPR
2008
IEEE
13 years 11 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...
VIP
2003
13 years 6 months ago
Robust Real-Time Tracking of Non-Rigid Objects
Several approaches to real-time video object tracking are reviewed. A new alternative approach for fast real-time object tracking based on colour thresholding is presented. Tracki...
Richard Y. D. Xu, John G. Allen, Jesse S. Jin