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Embedded Computer Vision (Advances in Computer Vision and Pattern Recognition),Used
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As a graduate student at Ohio State in the mid1970s, I inherited a unique c puter vision laboratory from the doctoral research of previous students. They had designed and built an early framegrabber to deliver digitized color video from a (very large) electronic video camera on a tripod to a minicomputer (sic) with a (huge!) disk driveabout the size of four washing machines. They had also signed a binary image array processor and programming language, complete with a users guide, to facilitate designing software for this oneofakindprocessor. The overall system enabled programmable realtime 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 leftabout 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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