Conferences related to Tracking

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2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)

AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.


2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe)

Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2019 IEEE 58th Conference on Decision and Control (CDC)

The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).


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Periodicals related to Tracking

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


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Most published Xplore authors for Tracking

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Xplore Articles related to Tracking

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Software carrier tracking of Chinese Chang'E-3 lunar explorer in the power descent phase

[{u'author_order': 1, u'affiliation': u'Beijing Institute of Tracking and Telecommunications Technology, Beijing, China', u'full_name': u'Hao Wanhong'}, {u'author_order': 2, u'affiliation': u'Beijing Institute of Tracking and Telecommunications Technology, Beijing, China', u'full_name': u'Li Zan'}, {u'author_order': 3, u'affiliation': u'Beijing Institute of Tracking and Telecommunications Technology, Beijing, China', u'full_name': u'Dong Guangliang'}, {u'author_order': 4, u'affiliation': u'Beijing Institute of Tracking and Telecommunications Technology, Beijing, China', u'full_name': u'Wang Hong'}, {u'author_order': 5, u'affiliation': u'Beijing Institute of Tracking and Telecommunications Technology, Beijing, China', u'full_name': u'Li Haitao'}] 2016 International Workshop on Tracking, Telemetry and Command Systems for Space Applications (TTC), 2016

In Chinese Chang'E-3 mission, the lander finally succeeded landing on the lunar surface softly and released the moon rover. The power descent phase, which posed a great challenge to the newly developed receiver in the deep space station, also turns out to be the most challenging part in the whole mission as there would be no Doppler data to reconstruct ...


Research on automatic target acquisition and tracking in an infrared tracking system

[{u'author_order': 1, u'affiliation': u'China Satellite Maritime Tracking and Controlling Department, 214431 Jiangyin, China', u'full_name': u'Qiang Wei'}] 2017 16th International Conference on Optical Communications and Networks (ICOCN), 2017

In an infrared tracking measurement system, using inter-image subtraction and position detection method to achieve the goal of automatic capture, using centroid tracking, correlation tracking and edge tracking related goals of automatic tracking, the test of this method with good results in actual use, which provide technical reference for the development and use of infrared tracking measurement system.


Chang'E-3 rover tracking using same beam interferometry data

[{u'author_order': 1, u'affiliation': u'The second laboratory, Beijing Institute of Tracking and Telecommunications Technology, Beijing, China', u'full_name': u'Huan Zhou'}, {u'author_order': 2, u'affiliation': u'The second laboratory, Beijing Institute of Tracking and Telecommunications Technology, Beijing, China', u'full_name': u'Haitao Li'}, {u'author_order': 3, u'affiliation': u'The second laboratory, Beijing Institute of Tracking and Telecommunications Technology, Beijing, China', u'full_name': u'Shaowu Chen'}, {u'author_order': 4, u'affiliation': u'The second laboratory, Beijing Institute of Tracking and Telecommunications Technology, Beijing, China', u'full_name': u'Dezhen Xu'}] 2016 International Workshop on Tracking, Telemetry and Command Systems for Space Applications (TTC), 2016

Same beam interferometry (SBI) was employed in China's first lunar landing mission Chang'E-3 to locate the rover relative to the lander. We introduced the method used for phase ambiguities resolution to generate the differential phase delay and the method used to calculate the two-dimensional relative position between the rover and lander on the lunar surface with their angular separation in ...


Research of multi-satellite tracking algorithm based on data fusion

[{u'author_order': 1, u'affiliation': u'China Satellite Maritime Tracking and Controlling Department, Jiangyin, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37688126300', u'full_name': u'Chen Hongying', u'id': 37688126300}, {u'author_order': 2, u'affiliation': u'China Satellite Maritime Tracking and Controlling Department, Jiangyin, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37705998500', u'full_name': u'Guo Caifa', u'id': 37705998500}, {u'author_order': 3, u'affiliation': u'China Satellite Maritime Tracking and Controlling Department, Jiangyin, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/38189618300', u'full_name': u'Wang Xuliang', u'id': 38189618300}, {u'author_order': 4, u'affiliation': u'China Satellite Maritime Tracking and Controlling Department, Jiangyin, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/38060010500', u'full_name': u'Li Huifen', u'id': 38060010500}] 2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2015

Considering the problem caused by the angle-measuring in the tracking process with the space tracking ship, a data fusion algorithm is proposed for the orbit determination with the rocket-borne GPS data and the tracking data obtained by the ship. The algorithm is evaluated by using the measured data obtained in a mission of one vehicle with 3 satellites. The simulation ...


A novel CKF method for target tracking

[{u'author_order': 1, u'affiliation': u'Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085555519', u'full_name': u'Yi-Ou Sun', u'id': 37085555519}, {u'author_order': 2, u'affiliation': u'Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085551538', u'full_name': u'Jing-Wen Xie', u'id': 37085551538}, {u'author_order': 3, u'affiliation': u'Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085566040', u'full_name': u'Jun-Hai Guo', u'id': 37085566040}, {u'author_order': 4, u'affiliation': u'Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085556684', u'full_name': u'Hai-Fang Wang', u'id': 37085556684}, {u'author_order': 5, u'affiliation': u'Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085559942', u'full_name': u'Yang Zhao', u'id': 37085559942}] 2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP), 2014

This paper presents a new target tracking method. The presented method which named marginalized cubature Kalman filter is based on standard cubature Kalman filter and marginalized moment estimator. The marginalized moment estimator uses sigma-points sampling and Guass-Hermite integration to estimate the mean and covariance. The proposed algorithm which is called MCKF in short, uses marginalized moment estimator to calculate the ...


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Educational Resources on Tracking

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eLearning

No eLearning Articles are currently tagged "Tracking"

IEEE-USA E-Books

  • Body Tracking in Healthcare

    Within the context of healthcare, there has been a long-standing interest in understanding the posture and movement of the human body. Gait analysis work over the years has looked to articulate the patterns and parameters of this movement both for a normal healthy body and in a range of movement-based disorders. In recent years, these efforts to understand the moving body have been transformed by significant advances in sensing technologies and computational analysis techniques all offering new ways for the moving body to be tracked, measured, and interpreted. While much of this work has been largely research focused, as the field matures, we are seeing more shifts into clinical practice. As a consequence, there is an increasing need to understand these sensing technologies over and above the specific capabilities to track, measure, and infer patterns of movement in themselves. Rather, there is an imperative to understand how the material form of these technologies enables them also to be situated in everyday healthcare contexts and practices. There are significant mutually interdependent ties between the fundamental characteristics and assumptions of these technologies and the configurations of everyday collaborative practices that are possible them. Our attention then must look to social, clinical, and technical relations pertaining to these various body technologies that may play out in particular ways across a range of different healthcare contexts and stakeholders. Our aim in this book is to explore these issues with key examples illustrating how social contexts of use relate to the properties and assumptions bound up in particular choices of body-tracking technology. We do this through a focus on three core application areas in healthcare—assessment, rehabilitation, and surgical interaction—and recent efforts to apply body-tracking technologies to them.

  • Data Association for Multi-Object Visual Tracking

    In the human quest for scientific knowledge, empirical evidence is collected by visual perception. Tracking with computer vision takes on the important role to reveal complex patterns of motion that exist in the world we live in. Multi-object tracking algorithms provide new information on how groups and individual group members move through three-dimensional space. They enable us to study in depth the relationships between individuals in moving groups. These may be interactions of pedestrians on a crowded sidewalk, living cells under a microscope, or bats emerging in large numbers from a cave. Being able to track pedestrians is important for urban planning; analysis of cell interactions supports research on biomaterial design; and the study of bat and bird flight can guide the engineering of aircraft. We were inspired by this multitude of applications to consider the crucial component needed to advance a single-object tracking system to a multi-object tracking system—data association. Data association in the most general sense is the process of matching information about newly observed objects with information that was previously observed about them. This information may be about their identities, positions, or trajectories. Algorithms for data association search for matches that optimize certain match criteria and are subject to physical conditions. They can therefore be formulated as solving a "constrained optimization problem"—the problem of optimizing an objective function of some variables in the presence of constraints on these variables. As such, data association methods have a strong mathematical grounding and are valuable general tools for computer vision researchers. This book serves as a tutorial on data association methods, intended for both students and experts in computer vision. We describe the basic research problems, review the current state of the art, and present some recently developed approaches. The book covers multi-object tracking in two and three dimensions. We consider two imaging scenarios involving either single cameras or multiple cameras with overlapping fields of view, and requiring across-time and across-view data association methods. In addition to methods that match new measurements to already established tracks, we describe methods that match trajectory segments, also called tracklets. The book presents a principled application of data association to solve two interesting tasks: first, analyzing the movements of groups of free-flying animals and second, reconstructing the movements of groups of pedestrians. We conclude by discussing exciting directions for future research.

  • Multitarget Tracking Using Multiple Hypothesis Tracking

    The track‐oriented multiple hypothesis tracking (MHT) algorithm is one of the most advanced algorithms for multisensor Multitarget tracking (MTT) for real‐world complex problems. An MTT system uses one or more sensors such as radar, sonar, electro‐optical, video, infra‐red, multispectral, hyperspectral, and unattended ground sensor (acoustic and seismic). Two classes of Sequential Monte Carlo (SMC)‐based multitarget algorithms are commonly used: Particle filter (PF)‐based algorithms; and Markov Chain Monte Carlo (MCMC)‐based algorithms. MHT is particularly effective in dense multitarget settings and in highly cluttered environments. The chapter discusses the current nonlinear filtering algorithms. Suitable filters can be selected for the track filter given the nature and complexity of the tracking problem. A collection of dynamic and measurement models commonly used in filters are presented for a wide variety of tracking applications. The chapter presents a detailed hybrid‐state derivation of the track‐oriented MHT equations following the formulation by Kurien with some minor modifications.

  • Adaptive High-Resolution Sensor Waveform Design for Tracking

    Recent innovations in modern radar for designing transmitted waveforms, coupled with new algorithms for adaptively selecting the waveform parameters at each time step, have resulted in improvements in tracking performance. Of particular interest are waveforms that can be mathematically designed to have reduced ambiguity function sidelobes, as their use can lead to an increase in the target state estimation accuracy. Moreover, adaptively positioning the sidelobes can reveal weak target returns by reducing interference from stronger targets. The manuscript provides an overview of recent advances in the design of multicarrier phase-coded waveforms based on Bjorck constant- amplitude zero-autocorrelation (CAZAC) sequences for use in an adaptive waveform selection scheme for mutliple target tracking. The adaptive waveform design is formulated using sequential Monte Carlo techniques that need to be matched to the high resolution measurements. The work will be of interest to both practitioners and researchers in radar as well as to researchers in other applications where high resolution measurements can have significant benefits. Table of Contents: Introduction / Radar Waveform Design / Target Tracking with a Particle Filter / Single Target tracking with LFM and CAZAC Sequences / Multiple Target Tracking / Conclusions

  • Basic Simulation Models of Phase Tracking Devices Using MATLAB

    The Phase-Locked Loop (PLL), and many of the devices used for frequency and phase tracking, carrier and symbol synchronization, demodulation, and frequency synthesis, are fundamental building blocks in today's complex communications systems. It is therefore essential for both students and practicing communications engineers interested in the design and implementation of modern communication systems to understand and have insight into the behavior of these important and ubiquitous devices. Since the PLL behaves as a nonlinear device (at least during acquisition), computer simulation can be used to great advantage in gaining insight into the behavior of the PLL and the devices derived from the PLL. The purpose of this Synthesis Lecture is to provide basic theoretical analyses of the PLL and devices derived from the PLL and simulation models suitable for supplementing undergraduate and graduate courses in communications. The Synthesis Lecture is also suitable for self study by practicing engineers. A significant component of this book is a set of basic MATLAB-based simulations that illustrate the operating characteristics of PLL-based devices and enable the reader to investigate the impact of varying system parameters. Rather than providing a comprehensive treatment of the underlying theory of phase-locked loops, theoretical analyses are provided in sufficient detail in order to explain how simulations are developed. The references point to sources currently available that treat this subject in considerable technical depth and are suitable for additional study. Download MATLAB codes (.zip) Table of Contents: Introduction / Basic PLL Theory / Structures Developed From The Basic PLL / Simulation Models / MATLAB Simulations / Noise Performance Analysis

  • Automated Wildlife Radio Tracking

    Radio direction‐finding techniques have been widely employed by the wildlife tracking community because they offer powerful, flexible tools for monitoring animal movements and behavior. This chapter focuses on the application of this technology to monitor animal movements. Electronic tags offer the possibility of monitoring animals in their native habitat with minimal disturbance. Two satellite‐based systems are widely used for wildlife tracking: global positioning system (GPS) and Argos. These two systems provide location information using different techniques. The chapter addresses some practical design considerations when implementing a matched filter. It discusses the performance of a matched filter when the received carrier frequency differs from the expected value. The chapter addresses the computational requirements of the detector algorithm and provides methods to reduce them. It also describes the problems caused by the asynchronous arrival of tag transmissions, and invokes the time‐shifting property of the Fourier transform to efficiently handle the issue.

  • Gazing at Games: An Introduction to Eye Tracking Control

    Eye tracking is a process that identifies a specific point in both space and time that is being looked at by the observer. This information can also be used in real-time to control applications using the eyes. Recent innovations in the video game industry include alternative input modalities to provide an enhanced, more immersive user experience. In particular, eye gaze control has recently been explored as an input modality in video games. This book is an introduction for those interested in using eye tracking to control or analyze video games and virtual environments. Key concepts are illustrated through three case studies in which gaze control and voice recognition have been used in combination to control virtual characters and applications. The lessons learned in the case studies are presented and issues relating to incorporating eye tracking in interactive applications are discussed. The reader will be given an introduction to human visual attention, eye movements and eye tracking technologies. Previous work in the field of studying fixation behavior in games and using eye tracking for video game interaction will also be presented. The final chapter discusses ideas for how this field can be developed further to create richer interaction for characters and crowds in virtual environments. Alternative means of interaction in video games are especially important for disabled users for whom traditional techniques, such as mouse and keyboard, may be far from ideal. This book is also relevant for those wishing to use gaze control in applications other than games. Table of Contents: Introduction / The Human Visual System / Eye Tracking / Eye Tracking in Video Games / Gaze and Voice Controlled Video Games: Case Study I and II / Gaze and Voice Controlled Drawing: Case Study III / Conclusion

  • Biomedical Image Analysis: Tracking

    In biological and medical imaging applications, tracking objects in motion is a critical task. This book describes the state-of-the-art in biomedical tracking techniques. We begin by detailing methods for tracking using active contours, which have been highly successful in biomedical applications. The book next covers the major probabilistic methods for tracking. Starting with the basic Bayesian model, we describe the Kalman filter and conventional tracking methods that use centroid and correlation measurements for target detection. Innovations such as the extended Kalman filter and the interacting multiple model open the door to capturing complex biological objects in motion. A salient highlight of the book is the introduction of the recently emerged particle filter, which promises to solve tracking problems that were previously intractable by conventional means. Another unique feature of Biomedical Image Analysis: Tracking is the explanation of shape-based methods for biomedical image analysis. Methods for both rigid and nonrigid objects are depicted. Each chapter in the book puts forth biomedical case studies that illustrate the methods in action.

  • Intent Inference and Detection of Anomalous Trajectories: A Metalevel Tracking Approach

    Classical target tracking assumes a state‐space model with target maneuvers modeled as a finite state Markov chain. This chapter motivates by metalevel target tracking applications on longer time scales. It develops metalevel tracking algorithms that assist human operators by extracting spatial patterns from target tracks to identify suspicious/anomalous spatial trajectories. The targets' spatial trajectories are modeled by two types of random processes: stochastic context‐free grammars (SCFGs); and reciprocal random processes. The chapter presents Bayesian filtering and smoothing algorithms for these processes to estimate the trajectories and hence intent of the targets. It describes a system‐level description of the anomalous trajectory classification problem, discusses the radar tracking framework and provides a mathematical description of trajectory classification. The chapter presents SCFG models and associated signal processing algorithms for trajectory modeling and classification. It considers reciprocal processes for modeling target intent. The parsing of the motion trajectories is implemented with Earley‐Stolcke parsing algorithm.

  • Tracking and Data Fusion for Ground Surveillance

    Ground surveillance comprises track extraction and maintenance of single ground moving vehicles and convoys, as well as low‐flying objects such as helicopters or unmanned aerial vehicles (UAVs). For long‐range, wide‐area, all‐weather, and all‐day surveillance operating at high data update rates, Ground Moving Target Indication (GMTI) radar proves to be the sensor system of choice. This chapter concentrates on the issues such as GMTI clutter notch and signal strength measurements. GMTI models are adapted to Space‐Time Adaptive Processing (STAP) techniques in that the detection probability assumed in the tracking process is described as a function of the GMTI‐specific clutter notch. The chapter shows how digital road maps can be integrated into the Bayesian tracking scheme and how they contribute to an improved tracking. It uses a Gaussian sum approach, which can seamlessly be integrated into standard Kalman filter‐based tracking algorithms.



Standards related to Tracking

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