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Spatial Visual Attention for Novelty Detection: A Space-based Saliency Model in 3D Using Spatial Memory

 

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Opened Access Spatial Visual Attention for Novelty Detection: A Space-based Saliency Model in 3D Using Spatial Memory
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Author: Imamoglu, Nevrez
Dorronzoro Zubiete, Enrique
Sekine, Masashi
Kita, Kahori
Yu, Wenwei
Department: Universidad de Sevilla. Departamento de Tecnología Electrónica
Date: 2015
Published in: IPSJ Transactions on Computer Vision and Applications, 7 (April 2015), 35-40.
Document type: Article
Abstract: Saliency maps as visual attention computational models can reveal novel regions within a scene (as in the human visual system), which can decrease the amount of data to be processed in task specific computer vision applications. Most of the saliency...
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Cite: Imamoglu, N., Dorronzoro, Z., Sekine, M., Kita, K. y Yu, W. (2015). Spatial Visual Attention for Novelty Detection: A Space-based Saliency Model in 3D Using Spatial Memory. IPSJ Transactions on Computer Vision and Applications, 7 (April 2015), 35-40.
Size: 1.200Mb
Format: PDF

URI: http://hdl.handle.net/11441/54038

DOI: 10.2197/ipsjtcva.7.35

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