Optimization Problems In Multitarget Multisensor Tracking

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Optimization Problems in Multitarget/Multisensor Tracking

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (946 download)

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Download or read book Optimization Problems in Multitarget/Multisensor Tracking written by and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ever-increasing demand in surveillance is to produce highly accurate target and track identification and estimation in real-time, even for dense target scenarios and in regions of high track contention. The use of multiple sensors, through more varied information, has the potential to greatly enhance target identification and state estimation. For multitarget tracking, the processing of multiple scans all at once yields the desired track identification and accurate state estimation; however, one must solve an NP-hard data association problem of partitioning observations into tracks and false alarms in real-time. This report summarizes the development of a multisensor-multitarget tracker based on the use of near-optimal and real-time algorithms for the data association problem and is divided into several parts. The first part addresses the formulation of multisensor and multiscan processing of the data association problem as a combinatorial optimization problem. The new algorithms under development for this NP-hard problem are based on a recursive Lagrangian relaxation scheme, construct near-optimal solutions in real-time, and use a variety of techniques such as two-dimensional assignment algorithms, a bundle trust region method for the nonsmooth optimization, and graph theoretic algorithms for problem decomposition. A brief computational complexity analysis as well as a comparison with some additional heuristic and optimal algorithms is included to demonstrate the efficiency of the algorithms. New results on numerical efficiency and increased robustness for track maintenance are also discussed. This program has produced two U.S. patents with a third pending and has developed the basis for the IBest of Breed Tracker Contest winner at Hanscom AFB in 1996.

Optimization Problems in Multisensor and Multitarget Tracking

Author :
Publisher :
ISBN 13 :
Total Pages : 31 pages
Book Rating : 4.:/5 (318 download)

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Download or read book Optimization Problems in Multisensor and Multitarget Tracking written by and published by . This book was released on 2008 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this research program is to develop optimization algorithms that solve key problems in multiple target tracking and sensor data fusion. The central problem in multiple target tracking is the data association problem of partitioning sensor reports into tracks and false alarms. New classes of data association problems have been formulated and initial algorithms developed to address cluster tracking, merged measurements, and even sensor resource management in the form of "group-assignments." In a different direction, an efficient k-best algorithm has been developed to approximate the uncertainty in data association, which is ontical for discrimination or combat identification. Statistical Monte Carlo methods are also applicable and are still under investigation. Bias estimation algorithms using known data association such as truth objects and targets of opportunity have been developed. Bias estimation in which data association is unknown is difficult due to the nonconvex and mixed integer nature of the mathematical formulation. Exact and approximate algorithms have been developed and successfully applied to system tracking. As a prerequisite to the development of multiple target tracking approaches to space surveillance, consistent measures of uncertainty for initial orbit determination and the propagation of the uncertainty over time have been developed.

Optimization Problems in Multisensor and Multitarget Target Tracking

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Publisher :
ISBN 13 :
Total Pages : 12 pages
Book Rating : 4.:/5 (742 download)

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Book Synopsis Optimization Problems in Multisensor and Multitarget Target Tracking by :

Download or read book Optimization Problems in Multisensor and Multitarget Target Tracking written by and published by . This book was released on 2004 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: The central problem in any surveillance system is the data association problem of partitioning observations into tracks and false alarms. Over the last fifteen years and with support from AFOSR, a new approach has been developed based on the use of multi-dimensional assignment problem formulation and Lagrangian relaxation algorithms. (This approach is often called multiple frame assignments or MFA for short.) Four U.S. patents have now been issued for this work. What is more, based on this new technology, Lockheed Martin of Oswego, NY won the best of Breed Tracking Contest for the next upgrade to AWACS held at Hanscom AFB in Boston in 1996, and it has been chosen as the tracking system for the Navy's new multipurpose helicopter under the LAMPS program. Currently, it is a contender for national and ballistic missile defense in the Hercules Program funded by MD Advanced Systems, for STSS Program as funded by the Department of the Air Force (in 2001 and 2002) and MDA in 2003.

Multitarget-multisensor Tracking

Author : Yaakov Bar-Shalom
Publisher :
ISBN 13 : 9780964831209
Total Pages : 615 pages
Book Rating : 4.8/5 (312 download)

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Book Synopsis Multitarget-multisensor Tracking by : Yaakov Bar-Shalom

Download or read book Multitarget-multisensor Tracking written by Yaakov Bar-Shalom and published by . This book was released on 1995 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multitarget-multisensor Tracking: Applications and advances

Author : Yaakov Bar-Shalom
Publisher :
ISBN 13 :
Total Pages : 474 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Multitarget-multisensor Tracking: Applications and advances by : Yaakov Bar-Shalom

Download or read book Multitarget-multisensor Tracking: Applications and advances written by Yaakov Bar-Shalom and published by . This book was released on 1990 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Algorithms for Multitarget Multisensor Tracking

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (946 download)

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Download or read book Algorithms for Multitarget Multisensor Tracking written by and published by . This book was released on 2003 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report results from a contract tasking Technical University of Crete as follows: I. Construction of a set of problem instances of multidimensional assignment problems in the context of target tracking. These will be used as benchmark problems. They will be constructed so that their optimal solution will be known, and they will vary in size and dimension. Furthermore they will be nontrivial to solve, since they will be used for evaluation of the proposed algorithms in the experimental runs. 2. Design and implementation of data structures to represent the massive sparse data sets associated with each instance of the problem. These data structures will be general enough to handle variable dimension and degrees of sparsity. Specific tasks to be performed by the algorithms, such as function evaluation and construction of feasible and partial solutions, should require minimum computational effort and memory. 3. Design and implementation of heuristic and exact algorithms for solving the multidimensional assignment problem. The heuristic algorithm will receive the dimension of the instance and the sparse multidimensional array as inputs, and it will provide the partitions that represent the targets. The exact algorithm will use a branch-and-bound scheme to provide exact solutions to the problem. All the codes will be written using the C programming language.

Multitarget Multisensor Tracking Problems. Part 1. A General Solution and a Unified View on Bayesian Approaches

Author : Shozo Mori
Publisher :
ISBN 13 :
Total Pages : 69 pages
Book Rating : 4.:/5 (227 download)

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Book Synopsis Multitarget Multisensor Tracking Problems. Part 1. A General Solution and a Unified View on Bayesian Approaches by : Shozo Mori

Download or read book Multitarget Multisensor Tracking Problems. Part 1. A General Solution and a Unified View on Bayesian Approaches written by Shozo Mori and published by . This book was released on 1984 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based upon a general target sensor model which allows dependence among targets and state-dependent target detection, a Bayesian solution to the multitarget tracking problem is derived. When this solution is applied to a special class of models, a less general but more implementationally feasible class of algorithms is obtained. Representative existing algorithms are then compared with our results. Doing so provides a unified view on Bayesian approaches to the multitarget tracking problem. Part I covers most of the analytical results, while in Part II, hypothesis management and other issues pertaining to implementation of multitarget algorithms are discussed with several examples. (jd/rh).

Multisensor Decision And Estimation Fusion

Author : Yunmin Zhu
Publisher : Springer Science & Business Media
ISBN 13 : 1461510457
Total Pages : 248 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Multisensor Decision And Estimation Fusion by : Yunmin Zhu

Download or read book Multisensor Decision And Estimation Fusion written by Yunmin Zhu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: YUNMIN ZHU In the past two decades, multi sensor or multi-source information fusion tech niques have attracted more and more attention in practice, where observations are processed in a distributed manner and decisions or estimates are made at the individual processors, and processed data (or compressed observations) are then transmitted to a fusion center where the final global decision or estimate is made. A system with multiple distributed sensors has many advantages over one with a single sensor. These include an increase in the capability, reliability, robustness and survivability of the system. Distributed decision or estimation fusion prob lems for cases with statistically independent observations or observation noises have received significant attention (see Varshney's book Distributed Detec tion and Data Fusion, New York: Springer-Verlag, 1997, Bar-Shalom's book Multitarget-Multisensor Tracking: Advanced Applications, vol. 1-3, Artech House, 1990, 1992,2000). Problems with statistically dependent observations or observation noises are more difficult and have received much less study. In practice, however, one often sees decision or estimation fusion problems with statistically dependent observations or observation noises. For instance, when several sensors are used to detect a random signal in the presence of observation noise, the sensor observations could not be statistically independent when the signal is present. This book provides a more complete treatment of the fundamentals of multi sensor decision and estimation fusion in order to deal with general random ob servations or observation noises that are correlated across the sensors.

Multi-Sensor Information Fusion

Author : Xue-Bo Jin
Publisher : MDPI
ISBN 13 : 3039283022
Total Pages : 602 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Multi-Sensor Information Fusion by : Xue-Bo Jin

Download or read book Multi-Sensor Information Fusion written by Xue-Bo Jin and published by MDPI. This book was released on 2020-03-23 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.

Handbook of Multisensor Data Fusion

Author : Martin Liggins II
Publisher : CRC Press
ISBN 13 : 1420053094
Total Pages : 872 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Multisensor Data Fusion by : Martin Liggins II

Download or read book Handbook of Multisensor Data Fusion written by Martin Liggins II and published by CRC Press. This book was released on 2017-01-06 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings. Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition represents the most current concepts and theory as information fusion expands into the realm of network-centric architectures. It reflects new developments in distributed and detection fusion, situation and impact awareness in complex applications, and human cognitive concepts. With contributions from the world’s leading fusion experts, this second edition expands to 31 chapters covering the fundamental theory and cutting-edge developments that are driving this field. New to the Second Edition— · Applications in electromagnetic systems and chemical and biological sensors · Army command and combat identification techniques · Techniques for automated reasoning · Advances in Kalman filtering · Fusion in a network centric environment · Service-oriented architecture concepts · Intelligent agents for improved decision making · Commercial off-the-shelf (COTS) software tools From basic information to state-of-the-art theories, this second edition continues to be a unique, comprehensive, and up-to-date resource for data fusion systems designers.

Quadratic Assignment and Related Problems

Author : Panos M. Pardalos
Publisher : American Mathematical Soc.
ISBN 13 : 9780821870624
Total Pages : 380 pages
Book Rating : 4.8/5 (76 download)

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Book Synopsis Quadratic Assignment and Related Problems by : Panos M. Pardalos

Download or read book Quadratic Assignment and Related Problems written by Panos M. Pardalos and published by American Mathematical Soc.. This book was released on 1994-01-01 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: The methods described here include eigenvalue estimates and reduction techniques for lower bounds, parallelization, genetic algorithms, polyhedral approaches, greedy and adaptive search algorithms.

Large Scale Optimization

Author : William W. Hager
Publisher : Springer Science & Business Media
ISBN 13 : 1461336325
Total Pages : 470 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Large Scale Optimization by : William W. Hager

Download or read book Large Scale Optimization written by William W. Hager and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: On February 15-17, 1993, a conference on Large Scale Optimization, hosted by the Center for Applied Optimization, was held at the University of Florida. The con ference was supported by the National Science Foundation, the U. S. Army Research Office, and the University of Florida, with endorsements from SIAM, MPS, ORSA and IMACS. Forty one invited speakers presented papers on mathematical program ming and optimal control topics with an emphasis on algorithm development, real world applications and numerical results. Participants from Canada, Japan, Sweden, The Netherlands, Germany, Belgium, Greece, and Denmark gave the meeting an important international component. At tendees also included representatives from IBM, American Airlines, US Air, United Parcel Serice, AT & T Bell Labs, Thinking Machines, Army High Performance Com puting Research Center, and Argonne National Laboratory. In addition, the NSF sponsored attendance of thirteen graduate students from universities in the United States and abroad. Accurate modeling of scientific problems often leads to the formulation of large scale optimization problems involving thousands of continuous and/or discrete vari ables. Large scale optimization has seen a dramatic increase in activities in the past decade. This has been a natural consequence of new algorithmic developments and of the increased power of computers. For example, decomposition ideas proposed by G. Dantzig and P. Wolfe in the 1960's, are now implement able in distributed process ing systems, and today many optimization codes have been implemented on parallel machines.

Application of the EM Algorithm for the Multitarget/multisensor Tracking Problem

Author : Karl J. Molnar
Publisher :
ISBN 13 :
Total Pages : 30 pages
Book Rating : 4.:/5 (351 download)

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Book Synopsis Application of the EM Algorithm for the Multitarget/multisensor Tracking Problem by : Karl J. Molnar

Download or read book Application of the EM Algorithm for the Multitarget/multisensor Tracking Problem written by Karl J. Molnar and published by . This book was released on 1996 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nonlinear Optimization and Related Topics

Author : Gianni Pillo
Publisher : Springer Science & Business Media
ISBN 13 : 1475732260
Total Pages : 484 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Nonlinear Optimization and Related Topics by : Gianni Pillo

Download or read book Nonlinear Optimization and Related Topics written by Gianni Pillo and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the edited texts of the lectures presented at the Workshop on Nonlinear Optimization held in Erice, Sicily, at the "G. Stampacchia" School of Mathematics of the "E. Majorana" Centre for Scientific Culture, June 23 -July 2, 1998. In the tradition of these meetings, the main purpose was to review and discuss recent advances and promising research trends concerning theory, algorithms and innovative applications in the field of Nonlinear Optimization, and of related topics such as Convex Optimization, Nonsmooth Optimization, Variational Inequalities and Complementarity Problems. The meeting was attended by 83 people from 21 countries. Besides the lectures, several formal and informal discussions took place. The result was a wide and deep knowledge of the present research tendencies in the field. We wish to express our appreciation for the active contribution of all the par ticipants in the meeting. Our gratitude is due to the Ettore Majorana Centre in Erice, which offered its facilities and rewarding environment: its staff was certainly instrumental for the success of the meeting. Our gratitude is also due to Francisco Facchinei and Massimo Roma for the effort and time devoted as members of the Organising Committee. We are indebted to the Italian National Research Council, and in particular to the Group on Functional Analysis and its Applications and to the Committees on Engineering Sciences and on Information Sciences and Technolo gies for their financial support. Finally, we address our thanks to Kluwer Academic Publishers for having offered to publish this volume.

Multisensor Data Fusion

Author : David Hall
Publisher : CRC Press
ISBN 13 : 1420038540
Total Pages : 564 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Multisensor Data Fusion by : David Hall

Download or read book Multisensor Data Fusion written by David Hall and published by CRC Press. This book was released on 2001-06-20 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut

Multi-target Tracking Via Mixed Integer Optimization

Author : Zachary Clayton Saunders
Publisher :
ISBN 13 :
Total Pages : 87 pages
Book Rating : 4.:/5 (96 download)

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Book Synopsis Multi-target Tracking Via Mixed Integer Optimization by : Zachary Clayton Saunders

Download or read book Multi-target Tracking Via Mixed Integer Optimization written by Zachary Clayton Saunders and published by . This book was released on 2016 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Given a set of target detections over several time periods, this paper addresses the multi-target tracking problem (MTT) of optimally assigning detections to targets and estimating the trajectory of the targets over time. MTT has been studied in the literature via predominantly probabilistic methods. In contrast to these approaches, we propose the use of mixed integer optimization (MIO) models and local search algorithms that are (a) scalable, as they provide near optimal solutions for six targets and ten time periods in milliseconds to seconds, (b) general, as they make no assumptions on the data, (c) robust, as they can accommodate missed and false detections of the targets, and (d) easily implementable, as they use at most two tuning parameters. We evaluate the performance of the new methods using a novel metric for complexity of an instance and find that they provide high quality solutions both reliably and quickly for a large range of scenarios, resulting in a promising approach to the area of MTT.

Encyclopedia of Optimization

Author : Christodoulos A. Floudas
Publisher : Springer Science & Business Media
ISBN 13 : 0387747583
Total Pages : 4646 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Encyclopedia of Optimization by : Christodoulos A. Floudas

Download or read book Encyclopedia of Optimization written by Christodoulos A. Floudas and published by Springer Science & Business Media. This book was released on 2008-09-04 with total page 4646 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field. The second edition builds on the success of the former edition with more than 150 completely new entries, designed to ensure that the reference addresses recent areas where optimization theories and techniques have advanced. Particularly heavy attention resulted in health science and transportation, with entries such as "Algorithms for Genomics", "Optimization and Radiotherapy Treatment Design", and "Crew Scheduling".