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AVSS
2005
IEEE

Scene modelling using an adaptive mixture of Gaussians in colour and space

9 years 2 months ago
Scene modelling using an adaptive mixture of Gaussians in colour and space
We present an integrated pixel segmentation and region tracking algorithm, designed for indoor environments. Visual monitoring systems often use frame differencing techniques to independently classify each image pixel as either foreground or background. Typically, this level of processing does not take account of the global image structure, resulting in frequent misclassification. We use an adaptive Gaussian mixture model in colour and space to represent background and foreground regions of the scene. This model is used to probabilistically classify observed pixel values, incorporating the global scene structure into pixellevel segmentation. We evaluate our system over 4 sequences and show that it successfully segments foreground pixels and tracks major foreground regions as they move through the scene.
Patrick Dickinson, Andrew Hunter
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where AVSS
Authors Patrick Dickinson, Andrew Hunter
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