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An adaptive motion estimation algorithm for irregular motion of objects

In this paper, a novel motion estimation method is proposed in order to enhance the block based matching. The enhancement is achieved by eliminating the number of search points, which in turn will reduce the computation complexity of any block based matching method. Relying on the social force model...

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Main Authors: Kajo, I., Malik, A.S., Kamel, N.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907302884&doi=10.1109%2fISCE.2014.6884365&partnerID=40&md5=6fa4eaa911c4e79a00f4a4289400b6b9
http://eprints.utp.edu.my/32063/
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spelling my.utp.eprints.320632022-03-29T04:33:49Z An adaptive motion estimation algorithm for irregular motion of objects Kajo, I. Malik, A.S. Kamel, N. In this paper, a novel motion estimation method is proposed in order to enhance the block based matching. The enhancement is achieved by eliminating the number of search points, which in turn will reduce the computation complexity of any block based matching method. Relying on the social force model, a predicted direction of the motion vectors can be estimated significantly. © 2014 IEEE. Institute of Electrical and Electronics Engineers Inc. 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907302884&doi=10.1109%2fISCE.2014.6884365&partnerID=40&md5=6fa4eaa911c4e79a00f4a4289400b6b9 Kajo, I. and Malik, A.S. and Kamel, N. (2014) An adaptive motion estimation algorithm for irregular motion of objects. In: UNSPECIFIED. http://eprints.utp.edu.my/32063/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description In this paper, a novel motion estimation method is proposed in order to enhance the block based matching. The enhancement is achieved by eliminating the number of search points, which in turn will reduce the computation complexity of any block based matching method. Relying on the social force model, a predicted direction of the motion vectors can be estimated significantly. © 2014 IEEE.
format Conference or Workshop Item
author Kajo, I.
Malik, A.S.
Kamel, N.
spellingShingle Kajo, I.
Malik, A.S.
Kamel, N.
An adaptive motion estimation algorithm for irregular motion of objects
author_facet Kajo, I.
Malik, A.S.
Kamel, N.
author_sort Kajo, I.
title An adaptive motion estimation algorithm for irregular motion of objects
title_short An adaptive motion estimation algorithm for irregular motion of objects
title_full An adaptive motion estimation algorithm for irregular motion of objects
title_fullStr An adaptive motion estimation algorithm for irregular motion of objects
title_full_unstemmed An adaptive motion estimation algorithm for irregular motion of objects
title_sort adaptive motion estimation algorithm for irregular motion of objects
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907302884&doi=10.1109%2fISCE.2014.6884365&partnerID=40&md5=6fa4eaa911c4e79a00f4a4289400b6b9
http://eprints.utp.edu.my/32063/
_version_ 1738657335045259264
score 13.18916

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