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Motion detection using periodic background estimation subtraction method

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conference contribution
posted on 28.02.2018, 10:00 by Syed Tarmizi Syed Shazali, Wai Loon Cheong, Shahrol Mohamaddan, A.M.N. Abg Kamaruddin, A. Yassin, Keith CaseKeith Case
This paper proposed a motion detection system using periodic background estimation subtraction method for outdoor illumination condition using MATLAB. The proposed method is robust to illumination change effect, change in background and noise. The method basically used background subtraction. The background image is estimated at every 0.8 second when the sum of absolute difference (SAD) is less than the motion threshold. The input image is luminance normalize before background subtraction. The results were converted into binary image by autothreshold and enhanced the results with dilation and erosion. Blobs were created for each motion objects. Experiment results of using background image estimated by periodic background estimation demonstrate their robustness and effectiveness in background subtraction for real world scene.

Funding

Universiti Malaysia Sarawak (UNIMAS) under Fundamental Research Grant Scheme (FRGS)

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Seventh International Conference on IT in Asia, CITA 2011 Proceedings of the Seventh International Conference on IT in Asia, CITA 2011

Pages

231 - 234

Citation

SYED SHAZALI, S.T. ... et al, 2011. Motion detection using periodic background estimation subtraction method. Proceedings of the 7th International Conference on Information Technology in Asia (CITA 2011), Kuching, Sarawak, Malaysia, 12-13 July 2011, pp.231-234.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Publication date

2011

Notes

© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISBN

9781612841281

Language

en

Location

University of Sarawak, Kuching, Sarawak, Malaysia