Papers by Mahendra Malick
<title>Distributed fusion using video sensors on multiple unmanned aerial vehicles</title>
Signal and Data Processing of Small Targets 2007, 2007
Surveillance and ground target tracking using multiple electro-optical and infrared video sensors... more Surveillance and ground target tracking using multiple electro-optical and infrared video sensors onboard unmanned aerial vehicles (UAVs) have drawn a great deal of interest in recent years due to inexpensive video sensors and sensor platforms. In this paper, we compare the convex combination fusion algorithm with the centralized fusion algorithm using a single target and two UAVs. The local tracker
<title>Comparison of track-to-track fusion algorithms using video sensors on multiple unmanned aerial vehicles</title>
Signal and Data Processing of Small Targets 2008, 2008
Surveillance and ground target tracking using multiple electro-optical and infrared video sensors... more Surveillance and ground target tracking using multiple electro-optical and infrared video sensors onboard unmanned aerial vehicles (UAVs) has drawn a great deal of interest in recent years. We compare a number of track-to-track fusion algorithms using a single target with the nearly constant velocity dynamic model and two UAVs. A local tracker is associated with each UAV and processes video
<title>Out-of-sequence track filtering using the decorrelated pseudo-measurement approach</title>
Signal and Data Processing of Small Targets 2004, 2004
Most practical multi-platform data fusion systems use the distributed tracking architecture where... more Most practical multi-platform data fusion systems use the distributed tracking architecture where each sensor platform has its own local tracker. A local tracker performs tracking using measurements from one or more sensors and sends its track data to a central fusion system. When the track data from a local tracker is transmitted to the central fusion system using a communication
Multiple hypotheses tracking based distributed fusion using decorrelated pseudo measurement sequence
A joint probabilistic data association based algorithm for multi-target tracking in clutter using... more A joint probabilistic data association based algorithm for multi-target tracking in clutter using the distributed tracking architecture has been proposed recently. The algorithm uses the decorrelated state estimates or equivalent pseudo measurements. This paper extends the previous approach to the multi-target tracking problem in clutter with probability of detection less than unity using the track-oriented multiple hypotheses tracking framework. We
<title>Comparison of swarm intelligence optimization with nonnegative weighted least squares for Raman spectra estimation</title>
Signal and Data Processing of Small Targets 2010, 2010
Raman spectroscopy is a powerful technique for determining the chemical composition of a substanc... more Raman spectroscopy is a powerful technique for determining the chemical composition of a substance. Our objective is to determine the chemical composition of an unknown substance given a reference library of Raman spectra. The unknown spectrum is expressed as a linear combination of the reference library spectra and the non-zero mixing coefficients represent the presence of individual substances, which are
2010 13th International Conference on Information Fusion, 2010
A relationship between differential geometry and estimation theory was lacking until the work of ... more A relationship between differential geometry and estimation theory was lacking until the work of Bates and Watts in the context of nonlinear parameter estimation. They used differential geometry based curvature measures of nonlinearity (CMoN), namely, the parameter-effects and intrinsic curvatures to quantify the degree of nonlinearity of a general multi-dimensional nonlinear parameter estimation problem. However, they didn't establish a relationship between CMoN and the curvature in differential geometry. We consider a polynomial curve in two dimensions and for the first time show analytically and through Monte Carlo simulations that affine mappings with positive slopes exist among the logarithm of the curvature in differential geometry, Bates and Watts CMoN, and mean square error.
Comparison of Raman spectra estimation algorithms
Raman spectroscopy is a powerful and effective technique for analyzing and identifying the chemic... more Raman spectroscopy is a powerful and effective technique for analyzing and identifying the chemical composition of a substance. Two types of Raman spectra estimation algorithms exist: supervised and unsupervised. In this paper, we perform a comparative analysis of five supervised ...
—Multitarget tracking (MTT) refers to the problem of jointly estimating the number of targets and... more —Multitarget tracking (MTT) refers to the problem of jointly estimating the number of targets and their states or trajectories from noisy sensor measurements. MTT has a long history spanning over 50 years, with a plethora of applications in many fields of study. While numerous techniques have been developed, the three most widely used approaches to MTT are the joint probabilistic data association filter (JPDAF), multiple hypothesis tracking (MHT), and random finite set (RFS). The JPDAF and MHT have been widely used for more than two decades, while the random finite set (RFS) based MTT algorithms have received a great deal of attention during the last decade. In this article, we provide an overview of MTT and succinct summaries of popular state-of-the-art MTT algorithms.
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Papers by Mahendra Malick