Search Results - "IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications"

A new algorithm for GMTI tracking problems, subject to a Doppler blind zone constraint by Clark, J.M.C, Kountouriotis, P.A, Vinter, R.B

“…This paper introduces a new methodology to take account of the Doppler blind zone arising, for example, in GMTI tracking. Here, the measurements are…”
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MAP estimation in particle filter tracking by Driessen, H, Boers, Y

“…Posterior densities in nonlinear tracking problems can successfully be constructed using particle filtering. The mean of the density is a popular point…”
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Fusion without independence by Julier, S.J

“…Conditional independence is perhaps the most pervasive of all assumptions used in data fusion and estimation algorithms. If a noise corrupted observation is…”
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Gaussian mixture implementations of probability hypothesis density filters for non-linear dynamical models by Clark, D, Ba-Tuong Vo, Ba-Ngu Vo, Godsill, S

“…The probability hypothesis density (PHD) filter is a multiple- target filter for recursively estimating the number of targets and their state vectors from sets…”
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NATO intelligence surveillance reconnaissance tracking standard NATO STANAG 4676 by Van Nederveen, G

“…This piece describes how the NATO alliance is constructing a tracking standard to cover all forms of movement information in a given area of interest…”
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Projection filters and matched moment filters in tracking by Clark, J.M.C

“…In problems in tracking, the natural stochastic model for the measurements and the dynamics of target and observer often contain nonlinear elements, and the…”
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Population based particle filtering by Bhaskar, H, Mihaylova, L, Maskell, S

“…This paper proposes a novel particle filtering strategy by combining population Monte Carlo Markov chain methods with sequential Monte Carlo chain particle…”
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Evolving networks for group object motion estimation by Gning, A, Mihaylova, L, Maskell, S, Sze Kim Pang, Godsill, S

“…This paper proposes a technique for group object motion estimation based on evolving graph networks. The main novelty over alternative group tracking…”
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Multi-sensor debris tracking by Welford, J

“…We discuss the problem of tracking numerous debris objects originating from a point source, such as fragments produced by a collision or explosion. Multiple…”
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Tracking multiple targets from a mobile robot platform using a laser range scanner by Kondaxakis, P, Kasderidis, S, Trahanias, P

“…A major issue in the field of mobile robotics today is the detection and tracking of moving objects (DATMO) from a moving observer. In dynamic and highly…”
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A technique to segment by tracking extended targets manoeuvring through complex scenes by Watson, G, Gilholm, K, Watson, S, Wallace, J

“…We present an innovative optical flow based algorithm that uses a memory of both target appearance and motion in order to simultaneously segment and track…”
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Video tracking using dual-tree wavelet polar matching and particle filtering by Pang, S.K, Nelson, J.D.B, Godsill, S.J, Kingsbury, N.G

“…In this paper, we describe a video tracking application using the dual-tree polar matching algorithm. The models are specified in a probabilistic setting, and…”
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Passive target tracking using transmitters of opportunity by Shephard, D, Richards, G.A

“…Scattering of signals from commercial television or radio channels from air and surface targets can be detected by one or more passive receivers. The received…”
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A novel algorithm for tracking targets using manoeuvre models by Gilholm, K, Everett, N.O

“…We present a novel algorithm for robust tracking of targets in challenging scenarios by modelling their high level behaviour. The particle-filter [6] based…”
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Bearings-only TMA on manoeuvring target: a Gaussian mixture approach by Laneuville, D

“…This paper considers the problem of manoeuvring target tracking with bearings-only measurements collected by a single source. We use the switching multiple…”
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Multi-platform multi-target tracking fusion via covariance intersection: using fuzzy optimised modified Kalman filters with measurement noise covariance estimation by Wren, T.J, Mahmood, A

“…Presented in this paper is a detailed novel approach to tracking multiple moving targets from multiple moving platforms and fusing the individual estimates…”
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Cluster tracking under kinematical constraints using random matrices by Koch, W, Feldmann, M

“…Collectively moving object clusters are of particular interest in certain applications and have to be tracked as separate aggregated entities consisting of an…”
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Tracking with inter-visibility variables by Horridge, P, Maskell, S

“…This paper is concerned with the problem of tracking targets where each sensor in the network's view of the target is prone to obscuration due to other objects…”
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Evaluation of the LDR protocol in a hybrid sensor networks/MANET architecture by Zhuoqun Li, Barria, J.A, Lent, R

“…Rescue operations are often carried out in hostile environments where no static or centralized infrastructure is available to support communications on the…”
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Automatic object detection based on adaptive background subtraction using symmetric alpha stable distribution by Bhaskar, H, Mihaylova, L, Achim, A

“…Automatic detection of objects is critical to video tracking systems. One of the simplest techniques for detection is background subtraction (BS). BS refers to…”
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