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 driveaabout the size of four washing machines. They had also - signed a binary image array processor and programming language, complete with a useras 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: aAn object has appeared in the upper right corner...Itismovingdownandtotheleft...Nowtheobjectisgettingcloser...The object moved out of sight to the leftaaabout 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.In this chapter we focused our investigations on a performance benchmark of some low-level vision algorithms on selected platforms. ... Basler Cooperation, Basler A600f Usera#39;s Manual, Document Number DA00056107 (2005). 6. Bosi, B.
|Title||:||Embedded Computer Vision|
|Author||:||Branislav Kisačanin, Shuvra S. Bhattacharyya, Sek Chai|
|Publisher||:||Springer Science & Business Media - 2008-09-26|