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3D Object Tracking Using Three Kalman Filters

In the recent years, 3D tracking has gained attention due to the perforation of powerful computers and the increasing interest in tracking applications. One of the most common tracking algorithms used is the Kalman filter. Kalman filter is a linear estimator that is based on approximating system�s d...

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Main Authors: Salih, Yasir, Malik, Aamir Saeed
Format: Conference or Workshop Item
Published: 2011
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utp.edu.my/5717/1/2011_ISCI-Yasir-Kalman.pdf
http://eprints.utp.edu.my/5717/
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spelling my.utp.eprints.57172017-01-19T08:22:56Z 3D Object Tracking Using Three Kalman Filters Salih, Yasir Malik, Aamir Saeed TK Electrical engineering. Electronics Nuclear engineering In the recent years, 3D tracking has gained attention due to the perforation of powerful computers and the increasing interest in tracking applications. One of the most common tracking algorithms used is the Kalman filter. Kalman filter is a linear estimator that is based on approximating system�s dynamics using Gaussian probability distribution. In this paper, we provide a detailed evaluation of the most common Kalman filters, their use in the literature and their implementation for 3D visual tracking. The main types of Kalman filters discussed are linear Kalman filter, extended Kalman filer and unscented Kalman filter. 2011-03 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/5717/1/2011_ISCI-Yasir-Kalman.pdf Salih, Yasir and Malik, Aamir Saeed (2011) 3D Object Tracking Using Three Kalman Filters. In: IEEE Symposium of Computer & Informatics, 20-22 March 2011, Kuala Lumpur. http://eprints.utp.edu.my/5717/
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/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Salih, Yasir
Malik, Aamir Saeed
3D Object Tracking Using Three Kalman Filters
description In the recent years, 3D tracking has gained attention due to the perforation of powerful computers and the increasing interest in tracking applications. One of the most common tracking algorithms used is the Kalman filter. Kalman filter is a linear estimator that is based on approximating system�s dynamics using Gaussian probability distribution. In this paper, we provide a detailed evaluation of the most common Kalman filters, their use in the literature and their implementation for 3D visual tracking. The main types of Kalman filters discussed are linear Kalman filter, extended Kalman filer and unscented Kalman filter.
format Conference or Workshop Item
author Salih, Yasir
Malik, Aamir Saeed
author_facet Salih, Yasir
Malik, Aamir Saeed
author_sort Salih, Yasir
title 3D Object Tracking Using Three Kalman Filters
title_short 3D Object Tracking Using Three Kalman Filters
title_full 3D Object Tracking Using Three Kalman Filters
title_fullStr 3D Object Tracking Using Three Kalman Filters
title_full_unstemmed 3D Object Tracking Using Three Kalman Filters
title_sort 3d object tracking using three kalman filters
publishDate 2011
url http://eprints.utp.edu.my/5717/1/2011_ISCI-Yasir-Kalman.pdf
http://eprints.utp.edu.my/5717/
_version_ 1738655424353140736
score 13.160551

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