Overview
- Provides historical perspective, the latest research results and a vision for future developments in this new field of embedded computer vision
- Contains high-level, state-of-the-art research results
- Looks ahead, providing a sense of what major applications could be expected in the near future
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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About this book
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.
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Keywords
Table of contents (13 chapters)
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Front Matter
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Advances in Embedded Computer Vision
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Front Matter
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Back Matter
Reviews
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)Editors and Affiliations
Bibliographic Information
Book Title: Embedded Computer Vision
Editors: Branislav Kisačanin, Shuvra S. Bhattacharyya, Sek Chai
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-84800-304-0
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2009
Hardcover ISBN: 978-1-84800-303-3Published: 06 October 2008
Softcover ISBN: 978-1-84996-776-1Published: 21 October 2010
eBook ISBN: 978-1-84800-304-0Published: 26 September 2008
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XXVIII, 284
Topics: Image Processing and Computer Vision, Pattern Recognition, Computer Imaging, Vision, Pattern Recognition and Graphics