Object speed estimation by using fuzzy set

Hossein Pazhoumand-Dar, Amir Mohsen Toliyat Abolhassani, Ehsan Saeedi

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Speed estimation is one of the important and practical tasks in machine vision, Robotic and Mechatronic. the availability of high quality and inexpensive video cameras, and the increasing need for automated video analysis has generated a great deal of interest in machine vision algorithms. Numerous approaches for speed estimation have been proposed. So classification and survey of the proposed methods can be very useful. The goal of this paper is first to review and verify these methods. Then we will propose a novel algorithm to estimate the speed of moving object by using fuzzy concept. There is a direct relation between motion blur parameters and object speed. In our new approach we will use Radon transform to find direction of blurred image, and Fuzzy sets to estimate motion blur length. The most benefit of this algorithm is its robustness and precision in noisy images. Our method was tested on many images with different range of SNR and is satisfiable.

Original languageEnglish
Pages (from-to)241-244
Number of pages4
JournalWorld Academy of Science, Engineering and Technology
Volume64
Publication statusPublished - 2010

Keywords

  • Blur analysis
  • Fuzzy sets
  • Speed estimation

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