Dickinson, Patrick and Hunter, Andrew (2005) Scene modelling using an adaptive mixture of Gaussians in colour and space. In: IEEE Conference on Advanced Video and Signal based Surveillance, 15-15 Sept 2005, Como, Italy.
Full content URL: http://dx.doi.org/10.1109/AVSS.2005.1577244
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| Item Type: | Conference or Workshop contribution (Poster) |
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| Item Status: | Live Archive |
Abstract
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 pixel-level 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.
| Additional Information: | 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 pixel-level 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. |
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| Keywords: | Background model, Adaptive background model, Surveillance |
| Subjects: | G Mathematical and Computer Sciences > G740 Computer Vision |
| Divisions: | College of Science > School of Computer Science |
| ID Code: | 83 |
| Deposited On: | 23 Feb 2006 |
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- Scene modelling using an adaptive mixture of Gaussians in colour and space. (deposited 23 Feb 2006) [Currently Displayed]
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