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Multi-modal and multi-camera attention in smart environments
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由 B Schauerte 著作2009被引用 24 次 — This paper considers the problem of multi-modal saliency and attention. Saliency is a cue that is often used for directing attention of a computer vision ...
(PDF) Multi-modal and multi-camera attention in smart ...
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2009年11月2日 — This paper considers the problem of multi-modal saliency and attention. Saliency is a cue that is often used for directing attention of a ...
Multi-modal and multi-camera attention in smart environments
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Our objective in this study is to develop a scene analysis algorithm using multisensory information, specifically vision and audio. We develop a proto-object ...
A Multi-modal Attention System for Smart Environments
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2024年12月14日 — In this paper, we formally present a multimodal attention system, consisting of a novel spatial saliency model and a framework for multi-camera ...
Multi-modal and multi-camera attention in smart environments | CoLab
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This paper considers the problem of multi-modal saliency and attention. Saliency is a cue that is often used for directing attention of a computer vision ...
Multi-Modal and Multi-Camera Attention in Smart Environments
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Multi-Modal and Multi-Camera Attention in Smart Environments. Lookup NU author(s): Dr Thomas Ploetz. Downloads. Full text for this publication is not currently ...
A Multi-modal Attention System for Smart Environments
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Abstract. Focusing their attention to the most relevant information is a fundamental biological concept, which allows humans to (re-)act rapidly.
[PDF] A Multi-modal Attention System for Smart Environments
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A multi-modal attention system for smart environments is described that explicitly respects efficiency and robustness aspects already by its architecture ...
Boris Schauerte
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Focusing computational visual attention in multi-modal human-robot interaction ... Multi-modal and multi-camera attention in smart environments. B Schauerte, J ...
A Multi-modal Attention System for Smart Environments
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由 B Schauerte 著作2009被引用 2 次 — In this paper a multi-modal attention system for smart environments is described that explicitly respects efficiency and robustness aspects ...