Adaptation of space-mapping methods for object location estimation to camera setup changes - A new study

Chih Jen Wu*, Wen-Hsiang Tsai

*Corresponding author for this work

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

Abstract

A new space-mapping method for object location estimation which is adaptive to camera setup changes in various applications is proposed. The location of an object appearing in an image is estimated by mapping image coordinates of object points to corresponding real-world coordinates using a mapping table, which is constructed in two stages, with the first for establishing a basic table using bilinear interpolation and the second for adapting it to changes of camera heights and orientations. Analytic equations for such adaptation are derived based on image formation and camera geometry properties. Good experimental results are shown to prove the feasibility of the proposed method.

Original languageEnglish
Title of host publicationKnowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings
Pages395-402
Number of pages8
EditionPART 2
DOIs
StatePublished - 4 Dec 2009
Event13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009 - Santiago, Chile
Duration: 28 Sep 200930 Sep 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5712 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009
CountryChile
CitySantiago
Period28/09/0930/09/09

Keywords

  • Object location estimation
  • Space mapping
  • Table adaptation

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