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BMVC
2010
13 years 4 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins
CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
15 years 17 days ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen
CVPR
2007
IEEE
13 years 10 months ago
On the Performance Prediction and Validation for Multisensor Fusion
Multiple sensors are commonly fused to improve the detection and recognition performance of computer vision and pattern recognition systems. The traditional approach to determine ...
Rong Wang, Bir Bhanu
ECCV
2008
Springer
14 years 8 months ago
Improving People Search Using Query Expansions
In this paper we are interested in finding images of people on the web, and more specifically within large databases of captioned news images. It has recently been shown that visua...
Thomas Mensink, Jakob J. Verbeek
ICCV
2007
IEEE
14 years 8 months ago
Steerable Random Fields
In contrast to traditional Markov random field (MRF) models, we develop a Steerable Random Field (SRF) in which the field potentials are defined in terms of filter responses that ...
Stefan Roth, Michael J. Black