Parallel object detection on multicore platforms

Author

Chen, Shin-Kai ; Lin, Tay-Jyi ; Liu, Chih-Wei

Author_Institution

Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

fYear

2009

fDate

7-9 Oct. 2009

Abstract

Object detection is an important function for intelligent multimedia processing, but its computational complexity prevented its pervasive uses in consumer electronics. Cost-effective & energy-efficient computations are now available with various innovative multicore architectures proposed for embedded systems. However, extensive software optimizations are needed to unravel the inherent parallelisms in object detection for multicore processing. This paper presents interleaved reordering and splitting of parallel tasks in object detection. Overall performance improvements by 10% & 19% have been measured for the proposed methods respectively on a face detection prototype implemented on Sony PlayStation 3.

Keywords

embedded systems; face recognition; multiprocessing systems; object detection; parallel architectures; Sony PlayStation 3; computational complexity; consumer electronics; cost-effective computation; embedded system; energy-efficient computation; face detection; intelligent multimedia processing; interleaved reordering; multicore architecture; multicore platform; multicore processing; parallel object detection; parallel task splitting; software optimization; Computational complexity; Computational intelligence; Computer architecture; Consumer electronics; Embedded computing; Embedded system; Energy efficiency; Multicore processing; Multimedia systems; Object detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Systems, 2009. SiPS 2009. IEEE Workshop on

Conference_Location

Tampere

ISSN

1520-6130

Print_ISBN

978-1-4244-4335-2

Electronic_ISBN

1520-6130

Type

conf

DOI

10.1109/SIPS.2009.5336228

Filename

5336228