A trajectory-based point tracker using chaos evolutionary programming

Shu Mei Guo, Chih Yuan Hsu, Po Nung Wu, Jason Sheng Hong Tsai

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

1 Citation (Scopus)

Abstract

A trajectory-based point tracker using chaos evolutionary programming (CEP) algorithm is proposed in this paper. While motion constraints such as rigidity and small motion which are imposed by previous approaches are liberated, the proposed CEP is proved to be effective for establishing point correspondence between two consecutive frames sampled at a fixed interval. The whole point trajectory within the sample interval is then reconstructed by polynomial interpolation. Our experimental results demonstrate that the proposed point tracker can accurately locate target under different kinds of situations like object deformation, occlusion, and sudden motion as well.

Original languageEnglish
Title of host publicationNext-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings
Pages212-220
Number of pages9
DOIs
Publication statusPublished - 2009
Event22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009 - Tainan, Taiwan
Duration: 2009 Jun 242009 Jun 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5579 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009
CountryTaiwan
CityTainan
Period09-06-2409-06-27

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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