VESTRO: Velocity Estimation using Stereoscopic Vision
This paper presents a real-time stereoscopic vision system that estimates the speed and direction of a moving object. Stereoscopic is applied in a real-time image processing system to re-construct a moving object in 3D, and further estimate the object’s velocity vector. The developed system, which...
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2005
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Online Access: | http://eprints.utm.my/id/eprint/1807/1/syed05_Velocity_Estimation.pdf http://eprints.utm.my/id/eprint/1807/ https://dx.doi.org/10.1109/CCSP.2005.4977172 |
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my.utm.18072017-08-28T01:20:54Z http://eprints.utm.my/id/eprint/1807/ VESTRO: Velocity Estimation using Stereoscopic Vision Ab-Rahman, A. A. H. Sheikh, U. U. Maliki, M. N. Heriansyah, R. Singh, K. Abu-Bakar, S. A. R. TK Electrical engineering. Electronics Nuclear engineering This paper presents a real-time stereoscopic vision system that estimates the speed and direction of a moving object. Stereoscopic is applied in a real-time image processing system to re-construct a moving object in 3D, and further estimate the object’s velocity vector. The developed system, which is called Vestro, can be operated to measure the speed of any moving object, ranging from remote controlled vehicles, snooker balls to human beings, and determine where it is going. We show how 3D analytical geometry and vector operations are utilized to find the velocity magnitude, and the corresponding angular compass direction for a particular motion. In-lab experiments prove that the developed Vestro system produces velocity estimation with an accuracy of more than 94%. 2005-11-14 Conference or Workshop Item NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/1807/1/syed05_Velocity_Estimation.pdf Ab-Rahman, A. A. H. and Sheikh, U. U. and Maliki, M. N. and Heriansyah, R. and Singh, K. and Abu-Bakar, S. A. R. (2005) VESTRO: Velocity Estimation using Stereoscopic Vision. In: Proceeding of 1st Conference on Computers, Communication, and Signal Processing, 14-16 November 2005, Kuala Lumpur. https://dx.doi.org/10.1109/CCSP.2005.4977172 |
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TK Electrical engineering. Electronics Nuclear engineering Ab-Rahman, A. A. H. Sheikh, U. U. Maliki, M. N. Heriansyah, R. Singh, K. Abu-Bakar, S. A. R. VESTRO: Velocity Estimation using Stereoscopic Vision |
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This paper presents a real-time stereoscopic vision system that estimates the speed and direction of a moving object. Stereoscopic is applied in a real-time image processing system to re-construct a moving object in 3D, and further estimate the object’s velocity vector. The developed system, which is called Vestro, can be operated to measure the speed of any moving object, ranging from remote controlled vehicles, snooker balls to human beings, and determine where it is going. We show how 3D analytical geometry and vector operations are utilized to find the velocity magnitude, and the corresponding angular compass direction for a particular motion. In-lab experiments prove that the developed Vestro system produces velocity estimation with an accuracy of more than 94%. |
format |
Conference or Workshop Item |
author |
Ab-Rahman, A. A. H. Sheikh, U. U. Maliki, M. N. Heriansyah, R. Singh, K. Abu-Bakar, S. A. R. |
author_facet |
Ab-Rahman, A. A. H. Sheikh, U. U. Maliki, M. N. Heriansyah, R. Singh, K. Abu-Bakar, S. A. R. |
author_sort |
Ab-Rahman, A. A. H. |
title |
VESTRO: Velocity Estimation using Stereoscopic Vision |
title_short |
VESTRO: Velocity Estimation using Stereoscopic Vision |
title_full |
VESTRO: Velocity Estimation using Stereoscopic Vision |
title_fullStr |
VESTRO: Velocity Estimation using Stereoscopic Vision |
title_full_unstemmed |
VESTRO: Velocity Estimation using Stereoscopic Vision |
title_sort |
vestro: velocity estimation using stereoscopic vision |
publishDate |
2005 |
url |
http://eprints.utm.my/id/eprint/1807/1/syed05_Velocity_Estimation.pdf http://eprints.utm.my/id/eprint/1807/ https://dx.doi.org/10.1109/CCSP.2005.4977172 |
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1643643422057168896 |
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13.160551 |