DocumentCode :
1838519
Title :
Multi-core Video Analytics Engine (MVE) for security and surveillance applications
Author :
Rekeczky, C. ; Zarandy, A. ; Foldesy, P.
Author_Institution :
Eutecus Inc., Berkeley, CA, USA
fYear :
2010
fDate :
3-5 Feb. 2010
Firstpage :
1
Lastpage :
1
Abstract :
The Multi-core Video Analytics Engine (MVE??) is an easily configurable, compact, high-performance processing architecture that can be used to implement complete video analytics solutions in a single FPGA embedded in intelligent surveillance cameras. With the steadily growing demand for increased processing power at lower costs for video analytics systems, especially intelligent cameras with embedded Digital Signal Processors (DSPs), traditional -software-only approaches are breaking down under the heavy burden of sheer computational complexity. MVE addresses this problem right at the heart, combining an inherently parallel multi-core processing architecture with embedded complex video analytics algorithms in a configurable SoC (System-on-Chip) solution. This initial commercial implementation of MVE is on the Xilinx Spartan-3A DSP 3400A FPGA chip. MVE is based on Eutecus´ Cellular Multi-core Video Analytics (C-MVA??) processor - containing specialized image processing IP cores - which has been developed based on substantial research into cellular architectures that mimics the processing found in human vision. The performance of the MVE?? will be demonstrated in both indoor and outdoor security and surveillance applications.
Keywords :
field programmable gate arrays; image sensors; multiprocessing systems; parallel architectures; system-on-chip; video signal processing; video surveillance; Eutecus cellular multicore video analytics processor; FPGA; MVE; Xilinx Spartan-3A DSP 3400A FPGA chip; computational complexity; configurable SoC; embedded complex video analytics algorithms; embedded digital signal processors; human vision; image processing; indoor security; intelligent surveillance cameras; multicore video analytics engine; outdoor security; parallel multicore processing architecture; system-on-chip; Computational intelligence; Costs; Digital cameras; Engines; Field programmable gate arrays; Intelligent systems; Security; Signal analysis; Smart cameras; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-6679-5
Type :
conf
DOI :
10.1109/CNNA.2010.5430331
Filename :
5430331
Link To Document :
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