Publication
Background subtraction fusing colour, intensity and edge cues
Conference Article
Conference
Computer Vision: Advances in Research & Development (CVCRD)
Edition
2nd
Pages
105-110
Doc link
File
Authors
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Huerta Casado, Ivan
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Rowe, Daniel
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Viñas, Miguel Ángel
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Mozerov, Mikhail
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Gonzàlez Sabaté, Jordi
Projects associated
Abstract
This paper presents a new background
subtraction algorithm for known mobile objects
segmentation from a static background scene.
Firstly, a casuistry of colour-motion segmentation
problems is presented. Our approach first combines
both colour and intensity cues in order to
solve some of the colour motion segmentation
problems presented in the casuistry, such as saturation
or the lack of the colour when the background
model is built. Nonetheless, some colours
problems presented in the casuistry are not solved
yet such as dark and light camouflage. Then, in
order to solve this problems a new cue —edge
cue— is proposed. Finally, our approach which
fuses colour, intensity and edge cues is presented,
thereby obtaining accurate motion segmentation in
both indoor and outdoor scenes.
Categories
computer vision.
Scientific reference
I. Huerta, D. Rowe, M. Viñas, M. Mozerov and J. Gonzàlez. Background subtraction fusing colour, intensity and edge cues, 2nd Computer Vision: Advances in Research & Development, 2007, Bellaterra, Espanya, pp. 105-110, s. n..
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