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Reconstruction-Free Compressive Vision for Surveillance Applications, Henry Braun, Pavan Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, Cihan Tepedelenlioglu


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Автор: Henry Braun, Pavan Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, Cihan Tepedelenlioglu
Название:  Reconstruction-Free Compressive Vision for Surveillance Applications
ISBN: 9781681735566
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 1681735563
Обложка/Формат: Hardcover
Страницы: 100
Вес: 0.39 кг.
Дата издания: 30.04.2019
Серия: Synthesis lectures on signal processing
Язык: English
Размер: 235 x 191 x 8
Читательская аудитория: Professional and scholarly
Ключевые слова: Photo & image editing,Computer vision,Signal processing, COMPUTERS / Image Processing,COMPUTERS / Computer Vision & Pattern Recognition,TECHNOLOGY & ENGINEERING / Signals & Signal
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Поставляется из: Англии
Описание: 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 and autonomous navigation. Other applications are also discussed at the end and a comprehensive list of references including survey papers are given for further reading.


Reconstruction-Free Compressive Vision for Surveillance Applications

Автор: Henry Braun, Pavan Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, Cihan Tepedelenlioglu
Название: Reconstruction-Free Compressive Vision for Surveillance Applications
ISBN: 1681735547 ISBN-13(EAN): 9781681735542
Издательство: Mare Nostrum (Eurospan)
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Цена: 6930.00 р.
Наличие на складе: Нет в наличии.

Описание: 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 and autonomous navigation. Other applications are also discussed at the end and a comprehensive list of references including survey papers are given for further reading.

Compressive sensing for wireless communication

Автор: Sankararajan, Radha Rajendran, Hemalatha Sukumaran, Aasha Nandhini
Название: Compressive sensing for wireless communication
ISBN: 8793379854 ISBN-13(EAN): 9788793379855
Издательство: Taylor&Francis
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Цена: 12554.00 р.
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Описание:

Compressed Sensing (CS) is a promising method that recovers the sparse and compressible signals from severely under-sampled measurements. CS can be applied to wireless communication to enhance its capabilities. As this technology is proliferating, it is possible to explore its need and benefits for emerging applications

Compressive Sensing for Wireless Communication provides:

  • A clear insight into the basics of compressed sensing
  • A thorough exploration of applying CS to audio, image and computer vision
  • Different dimensions of applying CS in Cognitive radio networks
  • CS in wireless sensor network for spatial compression and projection
  • Real world problems/projects that can be implemented and tested
  • Efficient methods to sample and reconstruct the images in resource constrained WMSN environment


This book provides the details of CS and its associated applications in a thorough manner. It lays a direction for students and new engineers and prepares them for developing new tasks within the field of CS. It is an indispensable companion for practicing engineers who wish to learn about the emerging areas of interest.


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