A comparison study on different crowd motion estimation algorithms using matlab

A comparison study on different crowd motion estimation algorithms using matlab

The optical flow describes the direction and time rate of pixels in a time sequence of two consequent images. A two-dimensional velocity vector, carrying information on the direction and the velocity of motion is assigned to each pixel in a given place in the picture. This article describes differen...

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Main Authors: Kajo, I., Kamel, N., Malik, A.S.
Format: Article
Published: Springer Verlag 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958552701&doi=10.1007%2f978-981-4585-18-7_37&partnerID=40&md5=095958d4adf5b0c8d3252f4fbaeb9640
http://eprints.utp.edu.my/31714/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.317142022-03-29T03:35:46Z A comparison study on different crowd motion estimation algorithms using matlab Kajo, I. Kamel, N. Malik, A.S. The optical flow describes the direction and time rate of pixels in a time sequence of two consequent images. A two-dimensional velocity vector, carrying information on the direction and the velocity of motion is assigned to each pixel in a given place in the picture. This article describes different motion detection methods, gives a brief illustration of the optical flow conception, and presents in details the Lucas-Kanade and Horn-Schunk algorithms for optical flow estimation and their implementation using MATLAB. © Springer Science+Business Media Singapore 2014. Springer Verlag 2014 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958552701&doi=10.1007%2f978-981-4585-18-7_37&partnerID=40&md5=095958d4adf5b0c8d3252f4fbaeb9640 Kajo, I. and Kamel, N. and Malik, A.S. (2014) A comparison study on different crowd motion estimation algorithms using matlab. Lecture Notes in Electrical Engineering, 285 LN . pp. 327-334. http://eprints.utp.edu.my/31714/
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 The optical flow describes the direction and time rate of pixels in a time sequence of two consequent images. A two-dimensional velocity vector, carrying information on the direction and the velocity of motion is assigned to each pixel in a given place in the picture. This article describes different motion detection methods, gives a brief illustration of the optical flow conception, and presents in details the Lucas-Kanade and Horn-Schunk algorithms for optical flow estimation and their implementation using MATLAB. © Springer Science+Business Media Singapore 2014.
format Article
author Kajo, I.
Kamel, N.
Malik, A.S.
spellingShingle Kajo, I.
Kamel, N.
Malik, A.S.
A comparison study on different crowd motion estimation algorithms using matlab
author_facet Kajo, I.
Kamel, N.
Malik, A.S.
author_sort Kajo, I.
title A comparison study on different crowd motion estimation algorithms using matlab
title_short A comparison study on different crowd motion estimation algorithms using matlab
title_full A comparison study on different crowd motion estimation algorithms using matlab
title_fullStr A comparison study on different crowd motion estimation algorithms using matlab
title_full_unstemmed A comparison study on different crowd motion estimation algorithms using matlab
title_sort comparison study on different crowd motion estimation algorithms using matlab
publisher Springer Verlag
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958552701&doi=10.1007%2f978-981-4585-18-7_37&partnerID=40&md5=095958d4adf5b0c8d3252f4fbaeb9640
http://eprints.utp.edu.my/31714/
_version_ 1738657286210977792

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