DocumentCode :
1769230
Title :
A parallel hardware architecture for fast integral image computing
Author :
Yuchi Zhang ; Shouyi Yin ; Peng Ouyang ; Leibo Liu ; Shaojun Wei
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing, China
fYear :
2014
fDate :
1-5 June 2014
Firstpage :
2189
Lastpage :
2192
Abstract :
This paper proposes a method of fast integral image computing on hardware. We propose a high efficient hardware-based algorithm, and design a pipelined architecture suitable for our algorithm. Parallelism and time complexity of the algorithm are analyzed. And the hardware implementation of each operations of the algorithm is presented. Compared with two related works, we find that our architecture is of the highest efficiency, as it reaches the highest speed by consuming the comparatively lowest logic resources and power.
Keywords :
computational complexity; field programmable gate arrays; object detection; parallel architectures; fast integral image computing; hardware-based algorithm; logic power; logic resources; parallel hardware architecture; parallelism; pipelined architecture; time complexity; Algorithm design and analysis; Computer architecture; Hardware; Parallel processing; Power dissipation; Registers; Time complexity; Integral Image; Parallel Algoritmn; Pipelined Architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
Conference_Location :
Melbourne VIC
Print_ISBN :
978-1-4799-3431-7
Type :
conf
DOI :
10.1109/ISCAS.2014.6865603
Filename :
6865603
Link To Document :
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