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Titlebook: VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search; Simone Frintrop Book 2006 Springer-Verlag Berlin Heidelber

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發(fā)表于 2025-3-21 19:21:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search
編輯Simone Frintrop
視頻videohttp://file.papertrans.cn/981/980159/980159.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search;  Simone Frintrop Book 2006 Springer-Verlag Berlin Heidelber
描述.Object detection and recognition is a topic of significant interest in computer and robot vision. It is required in most applications of computational vision, for example, biometric systems, medical imaging, intelligent cars, factory automation, and image databases...One of the major challenges in designing object recognition systems is to construct methods that are fast and capable of operating on standard computer platforms. The more developed such systems become, the more urgent?becomes the need for a pre-selection system that enables subsequent processing to focus only on relevant data. One mechanism to achieve this is visual attention: it selects regions in a visual scene that are most likely to contain objects of interest. The field of visual attention is currently the focus of much research?for both?biological and artificial systems...This monograph presents a complete computational system for visual attention and object detection: VOCUS (Visual Object detection with a CompUtational attention System) is a system capable of automatically selecting regions of interest in images and detecting specific objects. It represents a major step forward on integrating data-driven and m
出版日期Book 2006
關(guān)鍵詞artificial intelligence; automation; biologically motivated systems; classification; cognition; cognitive
版次1
doihttps://doi.org/10.1007/11682110
isbn_softcover978-3-540-32759-2
isbn_ebook978-3-540-32760-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2006
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https://doi.org/10.1007/11682110artificial intelligence; automation; biologically motivated systems; classification; cognition; cognitive
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發(fā)表于 2025-3-22 03:35:58 | 只看該作者
B The Viola-Jones Classifier,Here, we present the details of the classification method of Viola & Jones that was introduced in chapter 7. The classifier was also described in our publications [Frintrop et al., 2004b] and [Mitri et al., 2005]. Further details can be found in the original papers [Lienhart and Maydt, 2002,Viola and Jones, 2004].
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8 Conclusion,s. The approach regards object recognition as a two step process: first, the fast attention system detects regions of interest in the whole image and second, a classifier recognizes the content in the specified region. This separation enables an efficient processing since complex object recognition is restricted to a small image region.
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978-3-540-32759-2Springer-Verlag Berlin Heidelberg 2006
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