eprintid: 4870
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/48/70
datestamp: 2023-11-09 16:16:34
lastmod: 2023-11-09 16:16:34
status_changed: 2023-11-09 15:59:45
type: conference_item
metadata_visibility: show
creators_name: Kajo, I.
creators_name: Malik, A.S.
creators_name: Kamel, N.
title: An adaptive motion estimation algorithm for irregular motion of objects
ispublished: pub
keywords: Algorithms; Consumer electronics; Image compression; Space surveillance, Adaptive motion estimation; Computation complexity; Diamond search; Matching methods; Motion Vectors; Predicted motion vectors; search points; Social force models, Motion estimation
note: cited By 0; Conference of 18th IEEE International Symposium on Consumer Electronics, ISCE 2014 ; Conference Date: 22 June 2014 Through 25 June 2014; Conference Code:107396
abstract: 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.
date: 2014
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907302884&doi=10.1109%2fISCE.2014.6884365&partnerID=40&md5=6fa4eaa911c4e79a00f4a4289400b6b9
id_number: 10.1109/ISCE.2014.6884365
full_text_status: none
publication: Proceedings of the International Symposium on Consumer Electronics, ISCE
place_of_pub: Jeju
refereed: TRUE
isbn: 9781479945924
citation:   Kajo, I. and Malik, A.S. and Kamel, N.  (2014) An adaptive motion estimation algorithm for irregular motion of objects.  In: UNSPECIFIED.