Implementation and optimization of human tracking system using ARM embedded platform

Author

Teoh, Shen Khang ; Yap, Vooi Voon ; Soh, Chit Siang ; Sebastian, Patrick

Author_Institution

Dept. of Comput. & Commun. Technol., Univ. Tunku Abdul Rahman, Tronoh, Malaysia

Volume

1

fYear

2012

fDate

12-14 June 2012

Firstpage

353

Lastpage

356

Abstract

Computer vision is a field that includes methods for acquiring, processing, analyzing and understanding images. In the embedded world, computer vision applications have to fight with limited processing power and limited resources to achieve optimized algorithms and high performance. This paper presents work on implementing a human tracking system on both Intel based PC platform and embedded systems to optimize the algorithms for high performance. The algorithms are benchmarked on the Intel platform processor and BeagleBoard xM baed on low-power Texas Instruments (TI) DM3730 ARM processor. Functions and library in OpenCV which developed by Intel Corporation was utilized for building the human tracking algorithms.

Keywords

computer vision; embedded systems; low-power electronics; microprocessor chips; object tracking; optimisation; ARM embedded platform; BeagleBoard xM; Intel Corporation; Intel based PC platform; Intel platform processor; OpenCV; computer vision; embedded system; human tracking system; image acquisition; image analysis; image processing; image understanding; low-power Texas Instruments DM3730 ARM processor; optimization; Cameras; Computer vision; Histograms; Humans; Image color analysis; Libraries; Signal processing algorithms; Human tracking; beagleboard; histogram; opencv;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4577-1968-4

Type

conf

DOI

10.1109/ICIAS.2012.6306217

Filename

6306217