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Titlebook: Reconstruction-Free Compressive Vision for Surveillance Applications; Henry Braun,Pavan Turaga,Cihan Tepedelenlioglu Book 2019 Springer Na

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發(fā)表于 2025-3-21 19:05:42 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Reconstruction-Free Compressive Vision for Surveillance Applications
編輯Henry Braun,Pavan Turaga,Cihan Tepedelenlioglu
視頻videohttp://file.papertrans.cn/825/824258/824258.mp4
叢書名稱Synthesis Lectures on Signal Processing
圖書封面Titlebook: Reconstruction-Free Compressive Vision for Surveillance Applications;  Henry Braun,Pavan Turaga,Cihan Tepedelenlioglu Book 2019 Springer Na
描述Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new types of high-performance sensors including infrared cameras and magnetic resonance imaging systems. Advances in computer vision and deep learning have enabled new applications of automated systems. In this book, we introduce reconstruction-free compressive vision, where image processing and computer vision algorithms are embedded directly in the compressive domain, without the need for first reconstructing the measurements into images or video. Reconstruction of CS images is computationally expensive and adds to system complexity. Therefore, reconstruction-free compressive vision is an appealing alternative particularly for power-aware systems and bandwidth-limited applications that do not have on-board post-processing computational capabilities. Engineers must balance maintaining algorithm performance while minimizing both the number of measurements needed and the computational requirements of the algorithms. Our study explores the intersection of compressed sensing and computer vision, with the focus on applications in surveillance an
出版日期Book 2019
版次1
doihttps://doi.org/10.1007/978-3-031-02541-9
isbn_softcover978-3-031-01413-0
isbn_ebook978-3-031-02541-9Series ISSN 1932-1236 Series E-ISSN 1932-1694
issn_series 1932-1236
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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cide makeover..Transitional justice includes three components—memorialization, reparations, and lustrations. These refer to the honoring of deceased victims and survivors, the restoration of goods and services to surviving victims and their families along with compensation for past wrongs, and the c
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Henry Braun,Pavan Turaga,Andreas Spanias,Sameeksha Katoch,Suren Jayasuriya,Cihan Tepedelenlioglual social injustice. Residual injustice may take the form of biases like antisemitism harbored by individuals, or it may take the form of racist institutions. In this chapter we focus upon the systemic entrenchment of injustice that appears in some types of ethno-nationalism. This form of injustice
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Henry Braun,Pavan Turaga,Andreas Spanias,Sameeksha Katoch,Suren Jayasuriya,Cihan Tepedelenliogluues in case of negligence—given in two situations concerning computer programs, firstly, when the software is defective and secondly, when a party is injured due to using the software. To prevail on a negligence claim, a plaintiff must show the defendant has a duty of care but breached it and caused
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ally, we examine whether such regions are gender dependent by subgrouping our analysis for male and female patients. We show how difference maps are able to identify relevant image regions when previously introduced methods fail, and that, while some differences do exist between genders, the relevan
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1932-1236 requirements of the algorithms. Our study explores the intersection of compressed sensing and computer vision, with the focus on applications in surveillance an978-3-031-01413-0978-3-031-02541-9Series ISSN 1932-1236 Series E-ISSN 1932-1694
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Reconstruction-Free Compressive Vision for Surveillance Applications
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