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Real-time periodic motion detection and background estimation

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journal contribution
posted on 13.08.2018, 10:24 by Syed Tarmizi Syed Shazali, Wai Loon Cheong, H.M. Johan, Shahrol Mohammadan, A.M.N. Abg Kamaruddin, Mohammad S. Osman, Keith CaseKeith Case
Motion detection is a process to detect a changing in position of an object based on its surroundings. This paper, therefore, will present a periodic motion detection and background estimation. This method focussed on outdoor illumination condition. The method used is sturdy to illumination change effect, change in background and noise. Background subtraction is used in this method and the background image is estimated every 0.8 second using timer if the sum of absolute different (SAD) is less than the motion threshold. The input image is uminance normalize before the background subtraction. The results were converted into a binary image by autothreshold and the results were enhanced with dilation and erosion. The blobs were created for each motion object. Experimental results of using a background image estimated by periodic background estimation demonstrated their sturdiness and effectiveness in real-time background subtraction.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

International Journal of Design and Innovation

Volume

1

Pages

40 - 44 (5)

Citation

SYED SHAZALI, S.T. ... et al, 2013. Real-time periodic motion detection and background estimation. International Journal of Design and Innovation, 1, pp.40-44

Publisher

Institute of Design and Innovation (InDI), Universiti Malaysia Sarawak

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

01/04/2013

Publication date

2013

ISSN

2289-7151

Language

en