Higher order spatial transformations for motion analysis and modelling

JA Handcock; CN Canagarajah; DR Bull

doi:10.1049/ic:19990579

Higher order spatial transformations for motion analysis and modelling

JA Handcock
, CN Canagarajah
, DR Bull

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 contribution	Higher order spatial transforms for motion analysis and modelling
Original language	English
Title of host publication	IEE Electronics and Communications Colloquium on Motion Analysis and Tracking
Publisher	Institution of Engineering and Technology (IET)
Pages	9/1 - 9/6
Volume	99-103
DOIs	https://doi.org/10.1049/ic:19990579
Publication status	Published - May 1999
Event	IEE Colloquium on Motion Analysis and Tracking - London, United Kingdom Duration: 1 May 1999 → …

Conference

Conference	IEE Colloquium on Motion Analysis and Tracking
Country/Territory	United Kingdom
City	London
Period	1/05/99 → …

Bibliographical note

Rose publication type: Conference contribution

Other identifier: Ref. No. 1999/103

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10.1049/ic:19990579

http://hdl.handle.net/1983/1403

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@inproceedings{3e4ea13f822047b7b687b1f75378e76b,

title = "Higher order spatial transformations for motion analysis and modelling",

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",

author = "JA Handcock and CN Canagarajah and DR Bull",

note = "Rose publication type: Conference contribution Other identifier: Ref. No. 1999/103; IEE Colloquium on Motion Analysis and Tracking ; Conference date: 01-05-1999",

year = "1999",

month = may,

doi = "10.1049/ic:19990579",

language = "English",

volume = "99-103",

pages = "9/1 -- 9/6",

booktitle = "IEE Electronics and Communications Colloquium on Motion Analysis and Tracking",

publisher = "Institution of Engineering and Technology (IET)",

address = "United Kingdom",

}

Handcock, JA, Canagarajah, CN & Bull, DR 1999, Higher order spatial transformations for motion analysis and modelling. in IEE Electronics and Communications Colloquium on Motion Analysis and Tracking. vol. 99-103, Institution of Engineering and Technology (IET), pp. 9/1 - 9/6, IEE Colloquium on Motion Analysis and Tracking, London, United Kingdom, 1/05/99. https://doi.org/10.1049/ic:19990579

Higher order spatial transformations for motion analysis and modelling. / Handcock, JA; Canagarajah, CN; Bull, DR.
IEE Electronics and Communications Colloquium on Motion Analysis and Tracking. Vol. 99-103 Institution of Engineering and Technology (IET), 1999. p. 9/1 - 9/6.

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

TY - GEN

T1 - Higher order spatial transformations for motion analysis and modelling

AU - Handcock, JA

AU - Canagarajah, CN

AU - Bull, DR

N1 - Rose publication type: Conference contribution Other identifier: Ref. No. 1999/103

PY - 1999/5

Y1 - 1999/5

N2 - 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

AB - 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

U2 - 10.1049/ic:19990579

DO - 10.1049/ic:19990579

M3 - Conference Contribution (Conference Proceeding)

VL - 99-103

SP - 9/1 - 9/6

BT - IEE Electronics and Communications Colloquium on Motion Analysis and Tracking

PB - Institution of Engineering and Technology (IET)

T2 - IEE Colloquium on Motion Analysis and Tracking

Y2 - 1 May 1999

ER -

Higher order spatial transformations for motion analysis and modelling

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