Real-time background subtraction for video surveillance: From research to reality

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

12 Citations (Scopus)

Abstract

This paper reviews and evaluates performance of few common background subtraction algorithms which are medianbased, Gaussian-based and Kernel density-based approaches. These algorithms are tested using four sets of image sequences contributed by Wallflower datasets. They are the image sequences of different challenging environments that may reflect the real scenario in video surveillances. The performances of these approaches are evaluated in terms of processing speed, memory usage as well as object segmentation accuracy. The results demonstrate that Gaussian-based approach is the best approach for real-time applications, compromising between accuracy and computational time. Besides, this paper may provide a better understanding of algorithm behaviours implemented in different situation for real-time video surveillance applications.

Original languageEnglish
Title of host publicationProceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications
DOIs
Publication statusPublished - 2010
Event2010 6th International Colloquium on Signal Processing and Its Applications, CSPA 2010 - Melaka
Duration: 21 May 201023 May 2010

Other

Other2010 6th International Colloquium on Signal Processing and Its Applications, CSPA 2010
CityMelaka
Period21/5/1023/5/10

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Processing

Keywords

  • Background subtraction
  • Gaussian mixture modal
  • KDE
  • Median
  • Real-time video surveillance

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing
  • Control and Systems Engineering

Cite this

Hedayati, M., Wan Zaki, W. M. D., & Hussain, A. (2010). Real-time background subtraction for video surveillance: From research to reality. In Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications [5545277] https://doi.org/10.1109/CSPA.2010.5545277

Real-time background subtraction for video surveillance : From research to reality. / Hedayati, M.; Wan Zaki, Wan Mimi Diyana; Hussain, Aini.

Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications. 2010. 5545277.

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

Hedayati, M, Wan Zaki, WMD & Hussain, A 2010, Real-time background subtraction for video surveillance: From research to reality. in Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications., 5545277, 2010 6th International Colloquium on Signal Processing and Its Applications, CSPA 2010, Melaka, 21/5/10. https://doi.org/10.1109/CSPA.2010.5545277
Hedayati M, Wan Zaki WMD, Hussain A. Real-time background subtraction for video surveillance: From research to reality. In Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications. 2010. 5545277 https://doi.org/10.1109/CSPA.2010.5545277
Hedayati, M. ; Wan Zaki, Wan Mimi Diyana ; Hussain, Aini. / Real-time background subtraction for video surveillance : From research to reality. Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications. 2010.
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