Motion detection using horn schunck algorithm and implementation

Jaiganes Kanawathi, Siti Salasiah Mokri, Norazlin Ibrahim, Aini Hussain, Mohd. Marzuki Mustafa

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

8 Citations (Scopus)

Abstract

Use of unsuitable techniques and parameters in identifying optical flow movement produces poor segmentation and indirectly affects the optical flow pattern. In this paper, emphasis is focused on the production of optical flow image using Horn Schunck technique and finding the optimum parameters. Image flow movement using Horn Schunck technique and its implementation has been researched to comprehend more about the optical flow. Simulation was performed using the simulation software called MATLAB v7.6 by Mathworks Inc. There are three types of displacements used namely small, medium and large displacement. Several important parameters such as iteration, smoothness and density have been identified to achieve the research goal. This paper reports the study on three parameters previously mentioned in combination with three different types of displacements using Horn Schunck algorithm. Based on Horn Schunck algorithm, the results were obtained after considering the segmentation results, field of optical flow, standard derivation, error and processing time. It is then identified that the optimum values of parameters are when the iteration is between 1 to 6, the smoothing is between 0.0001 to 0.002 and the density is equal to 1.

Original languageEnglish
Title of host publicationProceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009
Pages83-87
Number of pages5
Volume1
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
Flow patterns
MATLAB
Processing

Keywords

  • Horn schunck
  • Motion detection
  • Optical flow

ASJC Scopus subject areas

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

Cite this

Kanawathi, J., Mokri, S. S., Ibrahim, N., Hussain, A., & Mustafa, M. M. (2009). Motion detection using horn schunck algorithm and implementation. In Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009 (Vol. 1, pp. 83-87). [5254812] https://doi.org/10.1109/ICEEI.2009.5254812

Motion detection using horn schunck algorithm and implementation. / Kanawathi, Jaiganes; Mokri, Siti Salasiah; Ibrahim, Norazlin; Hussain, Aini; Mustafa, Mohd. Marzuki.

Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. Vol. 1 2009. p. 83-87 5254812.

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

Kanawathi, J, Mokri, SS, Ibrahim, N, Hussain, A & Mustafa, MM 2009, Motion detection using horn schunck algorithm and implementation. in Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. vol. 1, 5254812, pp. 83-87, 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009, Selangor, 5/8/09. https://doi.org/10.1109/ICEEI.2009.5254812
Kanawathi J, Mokri SS, Ibrahim N, Hussain A, Mustafa MM. Motion detection using horn schunck algorithm and implementation. In Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. Vol. 1. 2009. p. 83-87. 5254812 https://doi.org/10.1109/ICEEI.2009.5254812
Kanawathi, Jaiganes ; Mokri, Siti Salasiah ; Ibrahim, Norazlin ; Hussain, Aini ; Mustafa, Mohd. Marzuki. / Motion detection using horn schunck algorithm and implementation. Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. Vol. 1 2009. pp. 83-87
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