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87
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ICIP
2006
IEEE
16 years 1 months ago
Background Modeling from GMM Likelihood Combined with Spatial and Color Coherency
This paper proposes to combine spatial and color coherency with the pixel-wise GMM to determine the background model. We first represent each pixel with a hybrid feature vector, w...
Sheng-Yan Yang, Chiou-Ting Hsu
120
Voted
CVPR
2006
IEEE
16 years 1 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
ICPR
2008
IEEE
15 years 6 months ago
Combined visual attention model for video sequences
The paper presents a model of visual attention combined with eye tracking to drive content-based retrieval of image data in order to facilitate understanding and development of ne...
Mariofanna G. Milanova, Stuart Harvey Rubin, Roume...
90
Voted
GRAPHITE
2005
ACM
15 years 5 months ago
Drawing the real
In this paper we present an algorithm to automatically produce artistic drawings from stereo image pairs. The input to the algorithm is a natural scene, along with a user-defined...
Danijela Markovic, Margrit Gelautz
ICIP
2009
IEEE
14 years 9 months ago
Main subject detection via adaptive feature selection
In this paper we present an algorithm which uses adaptive selection of low-level features for main subject detection. The algorithm first computes low-level features such as contr...
Cuong T. Vu, Damon M. Chandler