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

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

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

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

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

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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IEEE-USA E-Books

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

    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 the trajectory if the receiver had lost the lock with the downlink carrier. This paper has given the demonstration results of the Chang'E-3 Lunar Explorer signal tracking, using software phase-locked loop (SPLL) in the power descent phase. A new tracking scheme has been designed based on the combination of the open-loop signal recorder and the SPLL. A third order SPLL has been designed and tested based on the theory of the software-defined radio. The schedule of the tracking campaign has been laid out. The results show that the designed SPLL has successfully tracked the downlink carrier with signal phase estimation accuracy of around 2 degrees and this kind of off-line operation mode proves to be valuable for the challenging signal tracking campaign in the lunar and deep space explorations.

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

    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

    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 the plane-of-the-sky. The details of the rover tracking using the SBI data were also outlined. We then presented some results of the tracking experiments. The rover's motion could be accurately monitored and the accuracy of the relative position determination reached 1 meter level.

  • Research of multi-satellite tracking algorithm based on data fusion

    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 tests show its validity. With the introduction of the GPS data, the algorithm can improve the precision of the initial orbit and the intersatellite range determination.

  • A novel CKF method for target tracking

    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 state's mean and covariance in the CKF framework and gets a better accuracy and keep the covariance matrix being positive definite. Simulation indicates the presented algorithm's feasibility and improved performance.

  • IEE Colloquium on 'State Estimation in Aerospace and Tracking Applications' (Digest No.152)

    None

  • A modified marginalized Kalman filter for maneuvering target tracking

    This paper uses a new nonlinear Kalman filter algorithm in maneuvering target tracking. Marginalized KalmanFilter (MKF) algorithm expresses the system's nonlinear measurement equation as weighted sum of Hermite polynomials, then models the prior distribution of the weighted matrix as a Gaussian process. After that, calculates the weighted matrix's posteriori distribution and removes the influence of the weighted matrix by calculating its integration. As a result, the closed-form of the system's state and its covariance are available. To improve the stability of the MKF algorithm, Strong Tracking Filter concept is brought in by using a fading factor in the MKF algorithm. It can decrease the influence of previous filtering step on the current step. The Strong Tracking Marginalized Kaiman Filter (STMKF) algorithm has a adaptability to the sudden maneuver of the target. Using STMKF with UKF, CKF, and standard MKF in high maneuvering target tracking problem, the result shows that the STMKF has a better stability and a higher accuracy.

  • A New Human Eye Tracking Method Based on Tracking Module Feedback TLD Algorithm

    Existing human eye tracking research is based on the off-line sample training cascade classifier and the traditional tracking algorithm. However, it is difficult to adapt to situations where human eye is partially blocked, gets morphological changes or scale changes and so on. In order to solve these problems, the tracking-learning-detection algorithm for online single-target long-term tracking is used and improved. A novel eye tracking method-the human eye tracking-learning-detection algorithm with tracking feedback is proposed. The detection area is adjusted adaptively and narrowed by the tracking feedback. Above problems are solved, the interference of similar targets is avoided, and the speed of human eye tracking is enhanced. The experimental results show that the algorithm has high tracking accuracy and frames per second.

  • Tracking human locomotion by relative positional feet tracking

    Tracking human movements and locomotion accurately in real time - e.g. for providing real walking in virtual environments - requires expensive tracking systems which need a lot of time to install. Furthermore, the costs typically increase with the size of the tracked space as these systems rely on external references. This poster presents an approach to significantly reduce costs for tracking human locomotion in large, potentially unlimited tracking spaces. The proposed approach employs a low-cost user-worn position and orientation tracking system to track the position and orientation of limbs including the user's feet. To associate the relative limbs' movement within the user's local coordinate system with the absolute movement in a given environment, the feet stance phase is used. Whenever a foot enters the stance phase, the local position is locked onto the global position because the foot is not moving. This allows tracking a person with all locally tracked objects - e.g. limbs, head, etc. - by temporarily locking the absolute position alternately to the user's feet in a step by step manner. This tracking works continuously and in real time without any external references.

  • Nonlinear autoregressive model for space tracking ship's swaying data errors

    To get a thorough understanding of the properties and regulations of space tracking ship's swaying data errors so as to effectively eliminate their influences on measurement data, a nonlinear auto-regressive moving average model with exogenous inputs (NARMAX) has been developed by applying modern theories and the latest technologies. The process model of NARMAX was determined by orthogonal regressive method and the algorithm to determine noise model was also designed. After evaluating its fitting errors by comparing them with those of linear ARMA models, also by performing statistics and test for the redundant residuals, we can draw such conclusions as: The proposed NARMAX model can better fit ship swaying data errors, whose covariance and mean values prove to be much smaller than those processed by linear ARMA models, also it is more stationary and accurate, all of which validate that NARMAX can give a better description of the complicated characteristics and objective regulations of ship swaying data errors.



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