Motion detection using periodic background estimation subtraction method

S. T.Syed Shazali, W. L. Cheong, S. Mohamaddan, A. M.N.Abg Kamaruddin, A. Yassin, K. Case

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2011 7th International Conference on Information Technology in Asia
Subtitle of host publicationEmerging Convergences and Singularity of Forms - Proceedings of CITA'11
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 7th International Conference on Information Technology in Asia: Emerging Convergences and Singularity of Forms, CITA'11 - Kuching, Sarawak, Malaysia
Duration: 2011 Jul 122011 Jul 14

Publication series

Name2011 7th International Conference on Information Technology in Asia: Emerging Convergences and Singularity of Forms - Proceedings of CITA'11

Conference

Conference2011 7th International Conference on Information Technology in Asia: Emerging Convergences and Singularity of Forms, CITA'11
Country/TerritoryMalaysia
CityKuching, Sarawak
Period11/7/1211/7/14

Keywords

  • luminance normalize
  • motion detection
  • motion threshold
  • periodic background estimation
  • sum of absolute difference

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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