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...
| Main Authors: | Kajo, I., Kamel, N., Malik, A.S. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.31714 / |
| Published: |
Springer Verlag
2014
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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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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 |
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UTP Institutional Repository |
| 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_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_ |
1741197623573872640 |
| score |
11.62408 |