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Analytic Combinatorics for Multiple Object Tracking

Analytic Combinatorics for Multiple Object Tracking
Author: Roy Streit
Publisher: Springer Nature
Total Pages: 221
Release: 2020-11-26
Genre: Technology & Engineering
ISBN: 3030611914

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​The book shows that the analytic combinatorics (AC) method encodes the combinatorial problems of multiple object tracking—without information loss—into the derivatives of a generating function (GF). The book lays out an easy-to-follow path from theory to practice and includes salient AC application examples. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems. Many established tracking filters (e.g., Bayes-Markov, PDA, JPDA, IPDA, JIPDA, CPHD, PHD, multi-Bernoulli, MBM, LMBM, and MHT) are derived in this manner with simplicity, economy, and considerable clarity. The AC method gives significant and fresh insights into the modeling assumptions of these filters and, thereby, also shows the potential utility of various approximation methods that are well established techniques in applied mathematics and physics, but are new to tracking. These unexplored possibilities are reviewed in the final chapter of the book.


Analytic Combinatorics for Multiple Object Tracking

Analytic Combinatorics for Multiple Object Tracking
Author: Roy Streit
Publisher:
Total Pages: 0
Release: 2021
Genre:
ISBN: 9783030611927

Download Analytic Combinatorics for Multiple Object Tracking Book in PDF, ePub and Kindle

The book shows that the analytic combinatorics (AC) method encodes the combinatorial problems of multiple object tracking-without information loss-into the derivatives of a generating function (GF). The book lays out an easy-to-follow path from theory to practice and includes salient AC application examples. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems. Many established tracking filters (e.g., Bayes-Markov, PDA, JPDA, IPDA, JIPDA, CPHD, PHD, multi-Bernoulli, MBM, LMBM, and MHT) are derived in this manner with simplicity, economy, and considerable clarity. The AC method gives significant and fresh insights into the modeling assumptions of these filters and, thereby, also shows the potential utility of various approximation methods that are well established techniques in applied mathematics and physics, but are new to tracking. These unexplored possibilities are reviewed in the final chapter of the book. .


Analytic Combinatorics in Several Variables

Analytic Combinatorics in Several Variables
Author: Robin Pemantle
Publisher: Cambridge University Press
Total Pages: 395
Release: 2013-05-31
Genre: Mathematics
ISBN: 1107031575

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Aimed at graduate students and researchers in enumerative combinatorics, this book is the first to treat the analytic aspects of combinatorial enumeration from a multivariate perspective.


Analytic Combinatorics

Analytic Combinatorics
Author: Philippe Flajolet
Publisher: Cambridge University Press
Total Pages: 825
Release: 2009-01-15
Genre: Mathematics
ISBN: 1139477161

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Analytic combinatorics aims to enable precise quantitative predictions of the properties of large combinatorial structures. The theory has emerged over recent decades as essential both for the analysis of algorithms and for the study of scientific models in many disciplines, including probability theory, statistical physics, computational biology, and information theory. With a careful combination of symbolic enumeration methods and complex analysis, drawing heavily on generating functions, results of sweeping generality emerge that can be applied in particular to fundamental structures such as permutations, sequences, strings, walks, paths, trees, graphs and maps. This account is the definitive treatment of the topic. The authors give full coverage of the underlying mathematics and a thorough treatment of both classical and modern applications of the theory. The text is complemented with exercises, examples, appendices and notes to aid understanding. The book can be used for an advanced undergraduate or a graduate course, or for self-study.


Analytic Combinatorics

Analytic Combinatorics
Author: Marni Mishna
Publisher: CRC Press
Total Pages: 171
Release: 2019-11-29
Genre: Mathematics
ISBN: 1351036807

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Analytic Combinatorics: A Multidimensional Approach is written in a reader-friendly fashion to better facilitate the understanding of the subject. Naturally, it is a firm introduction to the concept of analytic combinatorics and is a valuable tool to help readers better understand the structure and large-scale behavior of discrete objects. Primarily, the textbook is a gateway to the interactions between complex analysis and combinatorics. The study will lead readers through connections to number theory, algebraic geometry, probability and formal language theory. The textbook starts by discussing objects that can be enumerated using generating functions, such as tree classes and lattice walks. It also introduces multivariate generating functions including the topics of the kernel method, and diagonal constructions. The second part explains methods of counting these objects, which involves deep mathematics coming from outside combinatorics, such as complex analysis and geometry. Features Written with combinatorics-centric exposition to illustrate advanced analytic techniques Each chapter includes problems, exercises, and reviews of the material discussed in them Includes a comprehensive glossary, as well as lists of figures and symbols About the author Marni Mishna is a professor of mathematics at Simon Fraser University in British Columbia. Her research investigates interactions between discrete structures and many diverse areas such as representation theory, functional equation theory, and algebraic geometry. Her specialty is the development of analytic tools to study the large-scale behavior of discrete objects.


Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking

Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking
Author: Grinberg, Michael
Publisher: KIT Scientific Publishing
Total Pages: 296
Release: 2018-08-10
Genre: Electronic computers. Computer science
ISBN: 3731507811

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This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations.


Handbook of Multisensor Data Fusion

Handbook of Multisensor Data Fusion
Author: Martin Liggins II
Publisher: CRC Press
Total Pages: 872
Release: 2017-01-06
Genre: Technology & Engineering
ISBN: 1420053094

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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.


Multiple Object Tracking

Multiple Object Tracking
Author: Aiyu Cui
Publisher:
Total Pages:
Release: 2018
Genre:
ISBN:

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An important task in computer vision is tracking objects precisely to enable further data analysis. However, in reality, we can not guarantee that the tracking results out of a motion capture (MoCap) system are always accurate, due to lack of cameras numbers, limitation of camera coverage and so on. Unfortunately, manually xing these errors can take more than 10 hours for a ve-minute MoCap. Therefore, we are motivated to develop a method to x imperfect motion capture data in terms of tracking correctness and gap lling. This thesis presents an innovative tracking algorithm to track objects formed by multiple trajectories with geometric correlations. In this thesis, we use a human skeleton formed by 39 markers (i.e. 39 trajectories) to illustrate how our algorithm can apply geometric constraints and select results among multiple results. We extend our algorithm to track multiple subjects (e.g. dual players and a human with a sword).