Title :
VLSI systems for embedded video
Author :
Wolf, Wayne ; Ozer, Burak ; Lv, Tiehan
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Abstract :
This paper describes our work in smart cameras as a driver application for very deep submicron VLSI systems. A smart camera uses on-board computing engines to analyze video in real time. In particular, we use algorithms for realtime human gesture recognition as an example of the sorts of next-generation video applications that will be implemented in future VLSI systems. This paper introduces smart camera applications and outlines some of the VLSI challenges posed by such systems
Keywords :
VLSI; gesture recognition; smart pixels; video signal processing; VLSI systems; embedded video; next-generation video applications; on-board computing engines; realtime human gesture recognition; smart cameras; very deep submicron systems; Face detection; Face recognition; Humans; Layout; Pattern recognition; Smart cameras; Streaming media; Surveillance; Very large scale integration; Video compression;
Conference_Titel :
VLSI, 2002. Proceedings. IEEE Computer Society Annual Symposium on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-7695-1486-3
DOI :
10.1109/ISVLSI.2002.1016865
