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Synopsis
This book brings together a wealth of experiences from leading researchers in the field of Embedded Computer vision, from both academic and industrial research labs. It also looks ahead, providing a sense of what applications can be expected in the future.
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From the Back Cover
Embedded Computer Vision, exemplified by the migration from powerful workstations to embedded processors in computer vision applications, is a new and emerging field that enables an associated shift in application development and implementation.
This comprehensive volume brings together a wealth of experiences from leading researchers in the field of embedded computer vision, from both academic and industrial research centers, and covers a broad range of challenges and trade-offs brought about by this paradigm shift. Part I provides an exposition of basic issues and applications in the area necessary for understanding the present and future work. Part II offers chapters based on the most recent research and results. Finally, the last part looks ahead, providing a sense of what major applications could be expected in the near future, describing challenges in mobile environments, video analytics, and automotive safety applications.
Features:
· Discusses the latest state-of-the-art techniques in embedded computer vision
· Presents a thorough introductory section on hardware and architectures, design methodologies, and video analytics to aid the reader’s understanding through the following chapters
· Offers emphasis on tackling important problems for society, safety, security, health, mobility, connectivity, and energy efficiency
· Discusses evaluation of trade-offs required to design cost-effective systems for successful products
· Explores the advantages of various architectures, development of high-level software frameworks and cost-effective algorithmic alternatives
· Examines issues of implementation on fixed-point processors, presented through an example of an automotive safety application
· Offers insights from leaders in the field on what future applications will be
This book is a welcome collection of stand-alone articles, ideal for researchers, practitioners, and graduate students. It provides historical perspective, the latest research results, and a vision for future developments in the emerging field of embedded computer vision. Supplementary material can be found at http://www.embeddedvisioncentral.com.
Review
From the reviews:
“The book is a result of the Embedded Computer Vision Workshop 2007. ... provides a very good overview of the current state of the art in embedded computer vision and of the major trends and growing markets. ... it is a good start and provides an extensive list of references to look for if one wants to go into more detail. Overall I would recommend this book to anyone interested in getting into this exciting field.” (Marcus E. Hennecke, IAPR Newsletter, Vol. 33 (2), April, 2011)"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2010
- ISBN 10 1849967768
- ISBN 13 9781849967761
- BindingPaperback
- LanguageEnglish
- Number of pages312
- EditorKisacanin Branislav, Bhattacharyya Shuvra S., Chai Sek
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Embedded Computer Vision (Advances in Computer Vision and Pattern Recognition)
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Embedded Computer Vision (Advances in Computer Vision and Pattern Recognition)
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Embedded Computer Vision
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As a graduate student at Ohio State in the mid-1970s, I inherited a unique c- puter vision laboratory from the doctoral research of previous students. They had designed and built an early frame-grabber to deliver digitized color video from a (very large) electronic video camera on a tripod to a mini-computer (sic) with a (huge!) disk drive-about the size of four washing machines. They had also - signed a binary image array processor and programming language, complete with a user's guide, to facilitate designing software for this one-of-a-kindprocessor. The overall system enabled programmable real-time image processing at video rate for many operations. I had the whole lab to myself. I designed software that detected an object in the eldofview,trackeditsmovementsinrealtime,anddisplayedarunningdescription of the events in English. For example: 'An object has appeared in the upper right corner.Itismovingdownandtotheleft.Nowtheobjectisgettingcloser.The object moved out of sight to the left'-about like that. The algorithms were simple, relying on a suf cient image intensity difference to separate the object from the background (a plain wall). From computer vision papers I had read, I knew that vision in general imaging conditions is much more sophisticated. But it worked, it was great fun, and I was hooked. 312 pp. Englisch. Seller Inventory # 9781849967761
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides historical perspective, the latest research results and a vision for future developments in this new field of embedded computer visionContains high-level, state-of-the-art research resultsLooks ahead, providing a sense of what majo. Seller Inventory # 458523844
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - As a graduate student at Ohio State in the mid-1970s, I inherited a unique c- puter vision laboratory from the doctoral research of previous students. They had designed and built an early frame-grabber to deliver digitized color video from a (very large) electronic video camera on a tripod to a mini-computer (sic) with a (huge!) disk drive-about the size of four washing machines. They had also - signed a binary image array processor and programming language, complete with a user's guide, to facilitate designing software for this one-of-a-kindprocessor. The overall system enabled programmable real-time image processing at video rate for many operations. I had the whole lab to myself. I designed software that detected an object in the eldofview,trackeditsmovementsinrealtime,anddisplayedarunningdescription of the events in English. For example: 'An object has appeared in the upper right corner.Itismovingdownandtotheleft.Nowtheobjectisgettingcloser.The object moved out of sight to the left'-about like that. The algorithms were simple, relying on a suf cient image intensity difference to separate the object from the background (a plain wall). From computer vision papers I had read, I knew that vision in general imaging conditions is much more sophisticated. But it worked, it was great fun, and I was hooked. Seller Inventory # 9781849967761
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