DocumentCode
2286004
Title
Moving object tracking on panoramic images
Author
Földesy, Péter ; Szatmári, István ; Zarándy, Ákos
Author_Institution
AnaLogic Computers Ltd., Budapest, Hungary
fYear
2002
fDate
22-24 Jul 2002
Firstpage
63
Abstract
Analogic CNN algorithms are combined with the special properties of a panoramic imaging device called PAL optics. The resulting system is capable to identify and track moving objects in 360 degrees field of view real-time. Image processing engine was the ALADDIN system with a 64×64 array size CNNUM chip. As the image sensor, we tested the optical input of the CNNUM chip in one experiment, and in other cases, we used a regular camera.
Keywords
cellular neural nets; image processing; image recognition; neural chips; object recognition; optical tracking; ALADDIN system; CNNUM chip; PAL optics; analogic CNN algorithms; image sensor; moving object tracking; panoramic images; real-time image processing; Cameras; Cellular neural networks; Engines; Image processing; Image sensors; Optical devices; Optical imaging; Optical sensors; Real time systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
Print_ISBN
981-238-121-X
Type
conf
DOI
10.1109/CNNA.2002.1035036
Filename
1035036
Link To Document