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3D Object Tracking Using Three Kalman Filters

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.

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Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Departments > Electrical & Electronic Engineering
Research Institutes > Institute for Health Analytics
ID Code:5717
Deposited By: Dr Aamir Saeed Malik
Deposited On:12 Jun 2011 04:53
Last Modified:19 Jan 2017 08:22

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