Adaptive motion segmentation based on genetic algorithm

Yan Ni Wang, Yang Yu Fan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to rapidly and accurately determine the optimal threshold in video segmentation, an improved adaptive video motion segmentation method based on genetic algorithm is proposed. Through consummating the evolve mechanism, introducing adaptive initially individual, selection operator and adaptive judgments of termination, it can overcome the problems of poor astringency and premature occurrence in genetic algorithm. The experiment results show that the new segmentation method can greatly improve the speed of segmentation and can acquire good segmentation results.

Original languageEnglish
Title of host publicationProceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09
DOIs
StatePublished - 2009
Event2009 2nd International Congress on Image and Signal Processing, CISP'09 - Tianjin, China
Duration: 17 Oct 200919 Oct 2009

Publication series

NameProceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09

Conference

Conference2009 2nd International Congress on Image and Signal Processing, CISP'09
Country/TerritoryChina
CityTianjin
Period17/10/0919/10/09

Keywords

  • Adaptive segmentation
  • Genetic algorithm
  • Video compression
  • Video object

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