Results 121 to 130 of about 602,867 (155)

Multitarget tracking with HRR wavelets features

Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301), 2002
This paper presents an algorithm for multitarget tracking using wavelets features, which effectively combines information from both high resolution range (HRR) profiles and ground moving target indication (GMTI) radar reports. With assistance of HRR wavelets features, a GMTI tracker based on a probabilistic data association logic can effectively track ...
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Using a genetic algorithm for multitarget tracking

SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218), 2002
The author has devised a technique that uses a genetic algorithm (GA) to address the multiscan assignment problem in multitarget tracking. The assignment problem involves taking detections from one or more sensors over multiple time intervals and dividing them into groups or tracks.
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Multitarget tracking with a corner-based particle filter

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, 2009
This paper presents a multitarget tracking algorithm based on a particle filter framework that exploits a sparse distributed shape model to handle partial occlusions. The state vector is composed by a set of points of interest (i.e. corners) and it enables to jointly describe position and shape of the target.
DORE A., BEOLDO A., REGAZZONI, CARLO
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Multitarget, Multisensor Tracking

2012
Target tracking consists of two main steps: measurement-to-track data association and track filtering. When multiple targets are present in proximity, both steps are more prone to errors. The more the measurement covariances for multiple targets overlap, the greater the data association ambiguity.
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Track quality based multitarget tracking algorithm

SPIE Proceedings, 2006
In multitarget tracking alongside the problem of measurement to track association, there are decision problems related to track confirmation and termination. In general, such decisions are taken based on the total number of measurement associations, length of no association sequence, total lifetime of the track in question.
A. Sinha, Z. J. Ding, Thia Kirubarajan, M. Farooq   +3 more
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Birth and death in multitarget tracking filters

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2013
Continuous time birth and death processes are used to model the number of targets in multitarget tracking filters. The general problem is formulated for arbitrary boundary conditions that specify the initial distributions of the numbers of targets and clutter. Three examples are discussed, two of which are new. One uses a pure death process and Poisson
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Consensus CPHD Filter for Distributed Multitarget Tracking

IEEE Journal of Selected Topics in Signal Processing, 2013
The paper addresses distributed multitarget tracking over a network of heterogeneous and geographically dispersed nodes with sensing, communication and processing capabilities. The contribution has been to develop a novel consensus Gaussian Mixture-Cardinalized Probability Hypothesis Density (GM-CPHD) filter that provides a fully distributed, scalable ...
Giorgio Battistelli, Luigi Chisci, Claudio Fantacci, Alfonso Farina, Antonio Graziano   +4 more
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Finite resolution multitarget tracking

SPIE Proceedings, 2005
Target tracking algorithms have to operate in an environment of uncertain measurement origin, due to the presence of randomly detected target measurements as well as clutter measurements from unwanted random scatterers. A majority of Bayesian multi-target tracking algorithms suffer from computational complexity which is exponential in the number of ...
Darko Musicki, Mark R. Morelande
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An efficient track association algorithm for the multitarget tracking problem

Information Sciences, 1980
Abstract A new and extremely promising approach is presented for the solution of the multitarget tracking problem for an important class of targets. For the class of targets that can be described as a linear, time-invariant system, it appears that this approach may be considerably more efficient, computationally, than existing procedures. A survey of
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Tracking multitarget in cluttered environment

IEEE Transactions on Aerospace and Electronic Systems, 1992
A method for multitarget tracking and initiating tracking in a cluttered environment is proposed. The algorithm uses a sliding window of length uT (T is the sampling time) to keep the measurement sequence at time k. Instead of solving a large problem, the entire set of targets and measurements is divided into several clusters so that a number of ...
H.M. Sun, S.M. Chiang
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