Embedded Computer Vision (Hardcover, 2009 ed.)

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.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Advances in Computer Vision and Pattern Recognition
Release date:	October 2008
First published:	2009
Editors:	Branislav Kisacanin • Shuvra S. Bhattacharyya • Sek Chai
Dimensions:	235 x 156 x 23mm (L x W x T)
Format:	Hardcover
Pages:	284
Edition:	2009 ed.
ISBN-13:	978-1-84800-303-3
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	1-84800-303-X
Barcode:	9781848003033

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