Motion detection using lucas kanade algorithm and application enhancement

Lee Yee Siong, Siti Salasiah Mokri, Aini Hussain, Norazlin Ibrahim, Mohd. Marzuki Mustafa

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

16 Citations (Scopus)

Abstract

Currently, computational of the optical flow of a sequence of images still remains a challenge in video processing. There are no specific techniques that can sufficiently generate an accurate and dense optical flow. Computational using local variable such as Lucas Kanade algorithm does not provide a good segmentation which indirectly affects the pattern of the optical flow obtained. In this paper, we will only focus on differential methods which are Lucas Kanade and Horn Schunck. We investigated the difference in standalone Lucas Kanade algorithm and the effect when it is combined with global variable such as number of iteration and smoothing from Horn Schunck algorithm and filtering. Comparison is made based on the optical flow pattern, segmentation of the motion of the images and the processing time. Experiments on the images show that by using the derivation of partial derivative in Lucas Kanade in Horn Schunck algorithm with the smoothing effect and number of iteration along with filters will result in better segmentation and better optical flow. Thus, this shows that the computation of intensity will influence the optical flow.

Original languageEnglish
Title of host publicationProceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009
Pages537-542
Number of pages6
Volume2
DOIs
Publication statusPublished - 2009
Event2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009 - Selangor
Duration: 5 Aug 20097 Aug 2009

Other

Other2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009
CitySelangor
Period5/8/097/8/09

Fingerprint

Optical flows
Processing
Flow patterns
Derivatives
Experiments

Keywords

  • Horn schunck
  • Lucas kanade
  • Motion detection
  • Optical flow

ASJC Scopus subject areas

  • Information Systems
  • Software
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Siong, L. Y., Mokri, S. S., Hussain, A., Ibrahim, N., & Mustafa, M. M. (2009). Motion detection using lucas kanade algorithm and application enhancement. In Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009 (Vol. 2, pp. 537-542). [5254757] https://doi.org/10.1109/ICEEI.2009.5254757

Motion detection using lucas kanade algorithm and application enhancement. / Siong, Lee Yee; Mokri, Siti Salasiah; Hussain, Aini; Ibrahim, Norazlin; Mustafa, Mohd. Marzuki.

Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. Vol. 2 2009. p. 537-542 5254757.

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

Siong, LY, Mokri, SS, Hussain, A, Ibrahim, N & Mustafa, MM 2009, Motion detection using lucas kanade algorithm and application enhancement. in Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. vol. 2, 5254757, pp. 537-542, 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009, Selangor, 5/8/09. https://doi.org/10.1109/ICEEI.2009.5254757
Siong LY, Mokri SS, Hussain A, Ibrahim N, Mustafa MM. Motion detection using lucas kanade algorithm and application enhancement. In Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. Vol. 2. 2009. p. 537-542. 5254757 https://doi.org/10.1109/ICEEI.2009.5254757
Siong, Lee Yee ; Mokri, Siti Salasiah ; Hussain, Aini ; Ibrahim, Norazlin ; Mustafa, Mohd. Marzuki. / Motion detection using lucas kanade algorithm and application enhancement. Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. Vol. 2 2009. pp. 537-542
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