Embedded Computer Vision Hardback
Edited by Branislav Kisacanin, Shuvra S. Bhattacharyya, Sek Chai
Part of the Advances in Computer Vision and Pattern Recognition series
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.
- Format: Hardback
- Pages: 284 pages, 32 Tables, black and white; XXVIII, 284 p.
- Publisher: Springer London Ltd
- Publication Date: 06/10/2008
- Category: Computer vision
- ISBN: 9781848003033
- Hardback from £64.65