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Title:
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Background subtraction fusing colour, intensity and edge cues
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Author:
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Huerta Casado, Iván; Rowe, Daniel; Viñas, Miguel; Mozerov, Mikhail; Gonzàlez, Jordi
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Other authors:
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Institut de Robòtica i Informàtica Industrial |
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Abstract:
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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. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
-Computer vision
-Visió per ordinador
-Classificació INSPEC::Pattern recognition::Computer vision |
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Rights:
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Document type:
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Conference Object |
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Published by:
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s. n.
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