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Spatial-Temporal Nonparametric Background Subtraction in Dynamic Scenes
Spatial-Temporal Nonparametric Background Subtraction Dynamic Scenes
2010/12/20
Traditional background subtraction methods model only temporal variation of each pixel. However, there is also spatial variation in real word due to dynamic background such as
waving trees, spouting ...
SPATIAL-TEMPORAL NONPARAMETRIC BACKGROUND SUBTRACTION IN DYNAMIC SCENES
Background modeling moving objects detection Gaussian mixture model kernel density estimation
2013/7/16
Traditional background subtraction methods model only temporal variation of each pixel. However, there is also spatial variation in real word due to dynamic background such as waving trees, spouting f...
A Pixel-Wise Local Information-Base Background Subtraction Approach
Pixel-Wise Local Information-Base Subtraction Approach
2010/12/17
Background subtraction is a widely used method for moving object detection in computer vision. It is usually applied in video surveillance systems. There are two major kinds of
background subtraction...
Dynamic Background Subtraction Based on Local Dependency Histogram
Dynamic Background Subtraction Local Dependency Histogram
2010/12/17
Traditional background subtraction methods perform poorly when scenes contain dynamic backgrounds such as waving tree, spouting fountain, illumination changes, camera
jitters, etc. In this paper, a n...
A Covariance-based Method for Dynamic Background Subtraction
Covariance-based Method Dynamic Background Subtraction
2010/12/17
Background subtraction in dynamic scenes is an important and challenging task. In this paper, we present a novel and effective method for dynamic background subtraction based on covariance matrix desc...
Texture and Motion Pattern Fusion for Background Subtraction
Texture Motion Pattern Fusion Background Subtraction
2010/12/17
In this paper, we propose a novel background subtraction algorithm, which takes both texture and motion information into account. Texture information is represented by local binary pattern (LBP),which...
Hierarchical Background Subtraction using Local Pixel Clustering
Hierarchical Background Local Pixel Clustering
2010/12/17
We propose a robust hierarchical background subtraction technique which takes the spatial relations of neighboring pixels in a local region into account to detect objects in difficult conditions. Our ...
A Covariance-based Method for Dynamic Background Subtraction
A Covariance-based Method Dynamic Background Subtraction
2013/7/17
Background subtraction in dynamic scenes is an important and challenging task. In this paper, we present a novel and effective method for dynamic background subtraction based on covariance matrix desc...
Texture and Motion Pattern Fusion for Background Subtraction
Background subtraction texture pattern motion pattern
2013/7/17
In this paper, we propose a novel background subtraction algorithm, which takes both texture and motion information into account. Texture information is represented by local binary pattern (LBP), whic...
Hierarchical Background Subtraction using Local Pixel Clustering
Hierarchical Background Subtraction Local Pixel Clustering
2013/7/17
We propose a robust hierarchical background subtraction technique which takes the spatial relations of neighboring pixels in a local region into account to detect objects in difficult conditions. Our ...
Dynamic Background Subtraction Based on Local Dependency Histogram
Dynamic Background Subtraction Local Dependency Histogram
2013/7/17
Traditional background subtraction methods perform poorly when scenes contain dynamic backgrounds such as waving tree, spouting fountain, illumination changes, camera jitters, etc. In this paper, a no...
A PIXEL-WISE LOCAL INFORMATION-BASED BACKGROUND SUBTRACTION APPROACH
Background subtraction Gabor filters spatial feature vector Gaussian Mixture Model
2013/7/17
Background subtraction is a widely used method for moving object detection in computer vision. It is usually applied in video surveillance systems. There are two major kinds of background subtraction ...