Embedded Computer Vision

Branislav Kisacanin (Curatore)

Shuvra S. Bhattacharyya (Curatore)

Springer London Ltd, 2010

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.

• Curatore: Branislav Kisacanin, Shuvra S. Bhattacharyya
• Editore: Springer London Ltd
• Collana: Advances in Computer Vision and Pattern Recognition
• Anno: 2010
• Rilegatura: Paperback / softback
• Pagine: 284 p.
• Dimensioni: 235 x 155 mm
• EAN: 9781849967761

Testo in English