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- Simon CLODEa, Peter KOOTSOOKOS, Franz ROTTENSTEINER
- 2004

A method for the automatic detection of roads from airborne laser scanner data is presented. Traditionally, intensity information has not been used in feature extraction from LIDAR data because the data is too noisy. This article deals with using as much of the recorded laser information as possible thus both height and intensity are used. To extract roads… (More)

- E. Jacobsen, P. Kootsookos
- IEEE Signal Processing Magazine
- 2007

This article presents computationally simple algorithms that provide substantial refinement of the frequency estimation of tones based on DFT samples without the need for increasing the DFT size. When estimating the frequency of a tone, the idea is to estimate the frequency of the spectral peak based on three DFT samples is discussed

- Peter J. Kootsookos, Brian C. Lovell, Boualem Boashash
- IEEE Trans. Signal Processing
- 1992

- Simon P. Clode, Emanuel E. Zelniker, Peter J. Kootsookos, I. Vaughan L. Clarkson
- 2004 12th European Signal Processing Conference
- 2004

This paper examines the well-known problem of line detection, but where the lines are wider than one pixel. The motivation behind the paper is the extraction of road information from high resolution photogrammetry and Light Detection and Ranging (LIDAR) data. Wide lines cause varying problems during detection. The HOUGH or RADON transform approaches do not… (More)

- P. J. Kootsookos
- 1991

This report presents a concise review of some frequency estimation and frequency tracking problems. In particular, the report focusses on aspects of these problems which have been addressed by members of the Frequency Tracking and Estimation project of the Centre for Robust and Adaptive Systems. The report is divided into four parts: problem specification… (More)

- Stefan Lehmann, Andrew P. Bradley, I. Vaughan L. Clarkson, John Williams, Peter J. Kootsookos
- IEEE Transactions on Pattern Analysis and Machine…
- 2007

Fundamental matrix estimation is a central problem in computer vision and forms the basis of tasks such as stereo imaging and structure from motion. Existing algorithms typically analyze the relative geometries of matched feature points identified in both projected views. Automated feature matching is itself a challenging problem. Results typically have a… (More)

An algebraic curve is defined as the zero set of a multivariate polynomial. We consider the problem of fitting an algebraic curve to a set of vectors given an additional set of vectors labelled as interior or exterior to the curve. The problem of fitting a linear curve in this way is shown to lend itself to a support vector representation, allowing… (More)

Hidden Markov models using the Fully-Connected, Left-Right and Left-Right Banded model structures are applied to the problem of alphabetical letter gesture recognition. We examine the effect of training techniques, in particular the Baum-Welch and Viterbi Path Counting techniques, on each of the model structures. We show that recognition rates improve when… (More)

- I. Vaughan L. Clarkson, Peter J. Kootsookos, Barry G. Quinn
- IEEE Trans. Signal Processing
- 1994

- Peter J. Kootsookos, Robert R. Bitmead, Michael Green
- IEEE Trans. Signal Processing
- 1992