Cascaded change detection for foreground segmentation
Cascaded change detection for foreground segmentation
dc.contributor.author | Luís Corte Real | en |
dc.contributor.author | Luís Filipe Teixeira | en |
dc.date.accessioned | 2018-01-12T16:21:06Z | |
dc.date.available | 2018-01-12T16:21:06Z | |
dc.date.issued | 2007 | en |
dc.description.abstract | The extraction of relevant objects (foreground) from a background is an important first step in many applications. We propose a technique that tackles this problem using a cascade of change detection tests, including noise-induced, illumination variation and structural changes. An objective comparison of pixel-wise modellingmethods is first presented. Given its best relation performance/complexity, the mixture of Gaussians was chosen to be used in the proposed method to detect structural changes. Experimental results show that the cascade technique consistently outperforms the commonly used mixture of Gaussians, without additional post-processing and without the expense of processing overheads. | en |
dc.identifier.uri | http://repositorio.inesctec.pt/handle/123456789/5972 | |
dc.language | eng | en |
dc.relation | 243 | en |
dc.relation | 4357 | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.title | Cascaded change detection for foreground segmentation | en |
dc.type | conferenceObject | en |
dc.type | Publication | en |
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