OpenCV Based Real-Time Video Processing Using Android Smartphone

Saipullah, Khairul Muzzammil (2012) OpenCV Based Real-Time Video Processing Using Android Smartphone. International Journal of Computer Technology and Electronics Engineering, 1 (3). pp. 1-6. ISSN ISSN 2249-6343

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Abstract

as the smarphone industry grows rapidly, the smartphone application needs to be faster and consumes lower power because the smartphone is only powered by a battery. In this paper, two Android applications based on video processing method are introduced; one by using OpenCV library, the other one is using Android library with self-implemented algorithm called CamTest. Eight image processing methods are applied to each frame of the video captured from the Android smartphone. The smartphone used in this study is the Samsung Galaxy S, with Android 2.3 Gingerbread Operating System. The efficiencies and power consumptions of the two applications are compared by observing their frame processing rate and power consumption. The experimental results show that out of the eight image processing methods, six methods that executed using OpenCV library are faster than that of CamTest with a total average ratio of 0.41. For the power consumption per frame test, six methods that executed using OpenCV library consume less power than that of CamTest with a total average ratio of 0.39.

Item Type:	Article
Uncontrolled Keywords:	Android, computer vision, OpenCV, power consumption
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Electronics and Computer Engineering > Department of Computer Engineering
Depositing User:	Engr. Khairul Muzzammil Saipullah
Date Deposited:	11 Jul 2012 00:11
Last Modified:	28 Dec 2021 16:37
URI:	http://eprints.utem.edu.my/id/eprint/4102
Statistic Details:	View Download Statistic

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