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» Object Detection using Background Context
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ICIP
2006
IEEE
15 years 11 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
DKE
2010
167views more  DKE 2010»
14 years 7 months ago
Discovering private trajectories using background information
Trajectories are spatio-temporal traces of moving objects which contain valuable information to be harvested by spatio-temporal data mining techniques. Applications like city traf...
Emre Kaplan, Thomas Brochmann Pedersen, Erkay Sava...
CVPR
2007
IEEE
15 years 11 months 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
VISAPP
2007
14 years 11 months ago
Spatiotemporal context in robot vision: Detection of static objects in the robocup four legged league
Having as a main motivation the development of robust and high performing robot vision systems that can operate in dynamic environments, we propose a context-based generic vision s...
Pablo Guerrero, Javier Ruiz-del-Solar, Rodrigo Pal...
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