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ICIP
2008
IEEE
14 years 5 months ago
Dynamic background modeling and subtraction using spatio-temporal local binary patterns
Traditional background modeling and subtraction methods have a strong assumption that the scenes are of static structures with limited perturbation. These methods will perform poo...
Shengping Zhang, Hongxun Yao, Shaohui Liu
CVPR
2010
IEEE
14 years 6 months ago
Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Louis Kratz, Ko Nishino
CVPR
2012
IEEE
12 years 1 months ago
Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
Manjunath Narayana, Allen R. Hanson, Erik G. Learn...
CVPR
2007
IEEE
15 years 26 days ago
Multi-Layer Background Subtraction Based on Color and Texture
In this paper, we propose a robust multi-layer background subtraction technique which takes advantages of local texture features represented by local binary patterns (LBP) and pho...
Jian Yao, Jean-Marc Odobez
CVPR
2010
IEEE
14 years 26 days ago
Modeling Pixel Process with Scale Invariant Local Patterns for Background Subtraction in Complex Scenes
Background modeling plays an important role in video surveillance, yet in complex scenes it is still a challenging problem. Among many difficulties, problems caused by illuminatio...
Shengcai Liao, Guoying Zhao, Vili Kellokumpu, Matt...