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Graphic object feature extraction system based on Cuckoo Search Algorithm

  • University of Catania

Research output: Contribution to journalArticlepeer-review

43 Citations (Scopus)

Abstract

Multimedia systems often use various detection methods to track relevant objects in images and video frames. The tracking scheme is often based on capturing of significant points in the object, which are used by implemented methods to extract the shape, dimensions, etc. and then further process these information. In recent years many advances in Computational Intelligence methods and approaches have been reported. Therefore the question has arisen if these, i.e. heuristics, are applicable to multimedia tracking systems? This article is to discuss developed heuristic methods for Key-Points tracking and shape extraction. In the following sections of this work developed approaches, in particular a dedicated Cuckoo Search Algorithm and Firefly Algorithm versions, are presented and discussed in comparison to some classical methods to show potential advantages and disadvantages. Benchmark tests and experimental research results are presented to show efficacy and extraction precision on test images.

Original languageEnglish
Pages (from-to)20-31
Number of pages12
JournalExpert Systems with Applications
Volume66
DOIs
Publication statusPublished - 30 Dec 2016

Keywords

  • Computational Intelligence
  • Heuristic methods
  • Image processing
  • Key-Points search

ASJC Scopus subject areas

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence

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