Higher order spatial transformations for motion analysis and modelling

JA Handcock, CN Canagarajah, DR Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)

Abstract

In this paper we present two novel methods for obtaining the ST motion parameters of arbitrary shaped video objects. These methods use genetic algorithm (GA) optimisation to efficiently and robustly search the multidimensional space of possible solutions. An overview of ST and GA techniques, is provided and the proposed algorithms are described. Some results are given, comparing the performance of the proposed algorithms with a traditional multi-level search method and an MPEG-4 like shape-adaptive BMA. Finally some concluding remarks and proposals for further work, are given
Translated title of the contributionHigher order spatial transforms for motion analysis and modelling
Original languageEnglish
Title of host publicationIEE Electronics and Communications Colloquium on Motion Analysis and Tracking
PublisherInstitution of Engineering and Technology (IET)
Pages9/1 - 9/6
Volume99-103
DOIs
Publication statusPublished - May 1999
EventIEE Colloquium on Motion Analysis and Tracking - London, United Kingdom
Duration: 1 May 1999 → …

Conference

ConferenceIEE Colloquium on Motion Analysis and Tracking
CountryUnited Kingdom
CityLondon
Period1/05/99 → …

Bibliographical note

Rose publication type: Conference contribution

Other identifier: Ref. No. 1999/103

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