Angle Discrete Interval Selection Technique (ADIST) on optical flow vectors in estimating orientation of vision system

Research output: Contribution to journalArticle

Abstract

In this paper, a method of extracting information in estimating orientation of vision system based on optical flow is presented. The method called angle discrete interval selection technique (ADIST) is proposed to estimate an angle by extracting optical flow information which consists of less noise interference. The performance of ADIST is compared with the actual value and the errors are evaluated using root mean square error (RMSE) and mean absolute error (MAE). Comparison results between both evaluation methods show that the smallest RMSE and MAE can be obtained using ADIST. Therefore, it is ascertained that our proposed method is useful to estimate orientation of vision system.

Original languageEnglish
Pages (from-to)817-822
Number of pages6
JournalICIC Express Letters, Part B: Applications
Volume6
Issue number3
Publication statusPublished - 2015

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Optical flows
Mean square error

Keywords

  • Angle estimation
  • Optical flow
  • Orientation
  • Vision system

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

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title = "Angle Discrete Interval Selection Technique (ADIST) on optical flow vectors in estimating orientation of vision system",
abstract = "In this paper, a method of extracting information in estimating orientation of vision system based on optical flow is presented. The method called angle discrete interval selection technique (ADIST) is proposed to estimate an angle by extracting optical flow information which consists of less noise interference. The performance of ADIST is compared with the actual value and the errors are evaluated using root mean square error (RMSE) and mean absolute error (MAE). Comparison results between both evaluation methods show that the smallest RMSE and MAE can be obtained using ADIST. Therefore, it is ascertained that our proposed method is useful to estimate orientation of vision system.",
keywords = "Angle estimation, Optical flow, Orientation, Vision system",
author = "Zairulazha Zainal and Rizauddin Ramli and Mustafa, {Mohd. Marzuki}",
year = "2015",
language = "English",
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AU - Zainal, Zairulazha

AU - Ramli, Rizauddin

AU - Mustafa, Mohd. Marzuki

PY - 2015

Y1 - 2015

N2 - In this paper, a method of extracting information in estimating orientation of vision system based on optical flow is presented. The method called angle discrete interval selection technique (ADIST) is proposed to estimate an angle by extracting optical flow information which consists of less noise interference. The performance of ADIST is compared with the actual value and the errors are evaluated using root mean square error (RMSE) and mean absolute error (MAE). Comparison results between both evaluation methods show that the smallest RMSE and MAE can be obtained using ADIST. Therefore, it is ascertained that our proposed method is useful to estimate orientation of vision system.

AB - In this paper, a method of extracting information in estimating orientation of vision system based on optical flow is presented. The method called angle discrete interval selection technique (ADIST) is proposed to estimate an angle by extracting optical flow information which consists of less noise interference. The performance of ADIST is compared with the actual value and the errors are evaluated using root mean square error (RMSE) and mean absolute error (MAE). Comparison results between both evaluation methods show that the smallest RMSE and MAE can be obtained using ADIST. Therefore, it is ascertained that our proposed method is useful to estimate orientation of vision system.

KW - Angle estimation

KW - Optical flow

KW - Orientation

KW - Vision system

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