A genetic algorithm for the identification and segmentation of known motion-blurred objects

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

Abstract

This paper presents a Genetic Algorithm based technique capable of identifying moving objects whose image is blurred due to fast relative motion with respect to the acquisition camera. Moreover, also the extension of the motion and the rotation of the object during the acquisition time can be accurately inferred. The proposed method is applicable when the geometric properties of the object were previously recorded in a database. Extensive testing shows that the proposed algorithm yields high success rates of correct identification of both the bottle species and of its motion with a limited number of chromosomes. The computing time is reasonably fast and the algorithm can be applied in real-time applications.

Original languageEnglish
Title of host publicationProceedings of the 9th WSEAS International Conference on Applied Computer Science, ACS '09
Pages152-156
Number of pages5
Publication statusPublished - 2009
Event9th WSEAS International Conference on Applied Computer Science, ACS '09 - Genova
Duration: 17 Oct 200919 Oct 2009

Other

Other9th WSEAS International Conference on Applied Computer Science, ACS '09
CityGenova
Period17/10/0919/10/09

Fingerprint

Segmentation
Genetic algorithms
Genetic Algorithm
Motion
Bottles
Chromosomes
Cameras
Moving Objects
Chromosome
Testing
Camera
Real-time
Computing
Object
Acquisition

Keywords

  • Computer vision
  • Genetic algorithm
  • Image processing
  • Pattern recognition
  • Sorting

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Scavino, E., Abd. Wahab, D., Hussain, A., Mustafa, M. M., & Basri, H. (2009). A genetic algorithm for the identification and segmentation of known motion-blurred objects. In Proceedings of the 9th WSEAS International Conference on Applied Computer Science, ACS '09 (pp. 152-156)

A genetic algorithm for the identification and segmentation of known motion-blurred objects. / Scavino, Edgar; Abd. Wahab, Dzuraidah; Hussain, Aini; Mustafa, Mohd. Marzuki; Basri, Hassan.

Proceedings of the 9th WSEAS International Conference on Applied Computer Science, ACS '09. 2009. p. 152-156.

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

Scavino, E, Abd. Wahab, D, Hussain, A, Mustafa, MM & Basri, H 2009, A genetic algorithm for the identification and segmentation of known motion-blurred objects. in Proceedings of the 9th WSEAS International Conference on Applied Computer Science, ACS '09. pp. 152-156, 9th WSEAS International Conference on Applied Computer Science, ACS '09, Genova, 17/10/09.
Scavino E, Abd. Wahab D, Hussain A, Mustafa MM, Basri H. A genetic algorithm for the identification and segmentation of known motion-blurred objects. In Proceedings of the 9th WSEAS International Conference on Applied Computer Science, ACS '09. 2009. p. 152-156
Scavino, Edgar ; Abd. Wahab, Dzuraidah ; Hussain, Aini ; Mustafa, Mohd. Marzuki ; Basri, Hassan. / A genetic algorithm for the identification and segmentation of known motion-blurred objects. Proceedings of the 9th WSEAS International Conference on Applied Computer Science, ACS '09. 2009. pp. 152-156
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