Optical flow improvement towards real time and natural rigid human motion estimation

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

1 Citation (Scopus)

Abstract

The implementation of Differential Optical Flow Algorithms in detecting human motion still faces great challenges. To date, there are no general approaches that are suitable especially when dealing with dynamic robust environment. As such, in this paper we propose a method that combines the simple partial derivative adopted from Lukas Kanade, the regularization technique by Horn Schunck and the choice of iteration using number of level implemention in Brox Warping. Results show good segmentation, constant flow of control and improve execution time. In sum, it can be concluded that the proposed method is effective and can be used in a robust environment.

Original languageEnglish
Title of host publicationICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings
Pages322-325
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09 - Kuala Lumpur
Duration: 18 Nov 200919 Nov 2009

Other

Other2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09
CityKuala Lumpur
Period18/11/0919/11/09

Fingerprint

Optical flows
Motion estimation
Derivatives

Keywords

  • Horn-Schunck algorithm
  • Lukas-Kanade algorithm
  • Optical flow
  • Warping technique

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Ibrahim, N., Wan Zaki, W. M. D., Hussain, A., & Mustafa, M. M. (2009). Optical flow improvement towards real time and natural rigid human motion estimation. In ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings (pp. 322-325). [5478669] https://doi.org/10.1109/ICSIPA.2009.5478669

Optical flow improvement towards real time and natural rigid human motion estimation. / Ibrahim, Norazlin; Wan Zaki, Wan Mimi Diyana; Hussain, Aini; Mustafa, Mohd. Marzuki.

ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. p. 322-325 5478669.

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

Ibrahim, N, Wan Zaki, WMD, Hussain, A & Mustafa, MM 2009, Optical flow improvement towards real time and natural rigid human motion estimation. in ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings., 5478669, pp. 322-325, 2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09, Kuala Lumpur, 18/11/09. https://doi.org/10.1109/ICSIPA.2009.5478669
Ibrahim N, Wan Zaki WMD, Hussain A, Mustafa MM. Optical flow improvement towards real time and natural rigid human motion estimation. In ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. p. 322-325. 5478669 https://doi.org/10.1109/ICSIPA.2009.5478669
Ibrahim, Norazlin ; Wan Zaki, Wan Mimi Diyana ; Hussain, Aini ; Mustafa, Mohd. Marzuki. / Optical flow improvement towards real time and natural rigid human motion estimation. ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. pp. 322-325
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