An evolutionary approach for pose determination and interpretation of occluded articulated objects

Shinn-Ying Ho, Zhen Bang Huang, Shinn Jang Ho

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

1 Scopus citations

Abstract

This paper proposes a novel evolutionary approach to a parameter solving problem for handling occluded articulated objects with any number of internal parameters representing articulation. The parameter solving problem is formulated as a parameter optimization problem and an objective function is also given based on the line segment features in the Hough space. The proposed approach uses a novel intelligent genetic algorithm (IGA) superior to conventional GAs in solving large parameter optimization problems to simultaneously solve pose determination and interpretation problems and consequently has the capabilities of accurate partial matching and robust pose determination. Effectiveness of the proposed IGA-based method is demonstrated by applying it to fitting a simplified artificial articulated model of a human body to monocular clutter images.

Original languageEnglish
Title of host publicationProceedings of the 2002 Congress on Evolutionary Computation, CEC 2002
PublisherIEEE Computer Society
Pages1092-1097
Number of pages6
ISBN (Print)0780372824, 9780780372825
DOIs
StatePublished - 1 Jan 2002
Event2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States
Duration: 12 May 200217 May 2002

Publication series

NameProceedings of the 2002 Congress on Evolutionary Computation, CEC 2002
Volume2

Conference

Conference2002 Congress on Evolutionary Computation, CEC 2002
CountryUnited States
CityHonolulu, HI
Period12/05/0217/05/02

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