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IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)

作者： Sun, S. M. Zhang, D. B. Li, H. N. Qian, S. Xian Satellite Control Ctr State Key Lab Astronaut Dynam Xian 710043 Peoples R China

ISBN: (纸本)9781479946990

With the vigorous development of space technology, positioning and tracking of non-cooperative target become an important problem within the domain of space surveillance and safety. Because of the perturbation effect, orbital plane changes with time in the inertia frame, then the real position and velocity vector beyond the plane which is spanned by initial position and velocity, so the classical Laplace model is not suit for the dynamics model with perturbation forces. With consideration of perturbation effect on the normal direction of orbit plane, in this paper, the Laplace model of spacecraft motion was extended and founded in the space which is spanned by position vector, velocity vector and the multiplication cross vector of both, then a new tracking algorithm of non-cooperative target was studied based on bearings only measurement. Results show that non-cooperative target could be well tracked and positioned only with bearings measurement when the number of tracking devices is equal to or greater than two, so the new method could be used in the domain of space surveillance and invade target early warning.

关键词： Laplace transforms position control space vehicles target tracking vectors Laplace model bearings only measurement multiplication cross vector noncooperative target positioning algorithm position vector spacecraft motion tracking algorithm velocity vector Extraterrestrial measurements Noise measurement Position measurement Radar tracking Space vehicles Target tracking Vectors

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A Survey of Robot Visual tracking algorithm

A Survey of Robot Visual Tracking Algorithm

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Asian Workshop on Polymer Processing (AWPP2011)

作者： Huang, Yihu Hu, Man Chong, Honglei Jia, Ximei Ma, Jixiang Liu, Wenlong Qingdao Univ Sci & Technol Coll Automat & Elect Engn Qingdao Peoples R China Qingdao Univ Sci & Technol Coll Electromech Engn Qingdao Peoples R China

ISBN: (纸本)9783037853542

In this paper, the robot vision systems are studied. Through the analysis of the visual tracking process, this paper classifies and introduces several commonly track. The features affecting the quality of target tracking, such as block, rotation, translation deformation and others, are analyzed and discussed. At last, some further directions of target tracking algorithm are also shortly addressed.

关键词： robot vision visual tracking tracking algorithm

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A tracking algorithm for Near-Space Hypersonic Vehicles based on Aerodynamic Acceleration Model 31

A Tracking Algorithm for Near-Space Hypersonic Vehicles base...

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31st Youth Academic Annual Conference of Chinese-Association-of-Automation (YAC)

作者： Lu, Zhou Cai, Yunze He, Jie Wang, Sheyang Shanghai Jiao Tong Univ Shanghai Peoples R China CASC Res Inst 8 Shanghai Peoples R China

ISBN: (纸本)9781509044238

Because of the unique flight trajectory and high penetration effectiveness, near-space hypersonic vehicles (NSHV) become a great challenge for active air defense systems. This paper study the tracking algorithm for NSHV based on Aerodynamic Model. Firstly, the paper simulated flight trajectory of NSHV based on the equation of motion. Secondly, the paper designed a tracking method for NSHV by using aerodynamic acceleration model. the effectiveness and limitation of the model are both verified by simulation. Finally, this paper provided some suggestions for improvement of the tracking algorithm based on Aerodynamic Acceleration Model.

关键词： flight orbit simulation of NSHV aerodynamic acceleration model tracking algorithm

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A fully Bayesian tracking algorithm for mitigating disparate prediction misclassification

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INTERNATIONAL JOURNAL OF FORECASTING 2023年第3期39卷 1238-1252页

作者： Short, Martin B. Mohler, George O. Georgia Inst Technol Atlanta GA 30332 USA Boston Coll Chestnut Hill MA USA

We develop a fully Bayesian tracking algorithm with the purpose of providing classification prediction results that are unbiased when applied uniformly to individuals with differing sensitive variable values, e.g., of different races, sexes, etc. Here, we consider bias in the form of group-level differences in false prediction rates between the different sensitive variable groups. Given that the method is fully Bayesian, it is well suited for situations where group parameters or regression coefficients are dynamic quantities. We illustrate our method, in comparison to others, on simulated datasets and two real-world datasets.& COPY;2022 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.

关键词： Bayesian tracking algorithm Fair algorithm Bias reduction Recidivism

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Research on Particle Filter tracking algorithm Based on Multi-Feature Covariance Matrix 3

Research on Particle Filter Tracking Algorithm Based on Mult...

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3rd IEEE International Conference on Control, Automation and Robotics (ICCAR)

作者： Du, Yunming San, Linna Tian, Jing Yan, Bingbing Jiamusi Univ Coll Informat & Elect Technol Jiamusi Heilongjiang Pr Peoples R China Jiamusi Univ Coll Mech Engn Jiamusi Heilongjiang Pr Peoples R China

ISBN: (纸本)9781509060887

Aiming at the problem that the particle filter target tracking based on single feature is vulnerable to environmental impacts and is difficult to deal with the size scaling and rotation changes, this paper proposes a particle filter tracking algorithm based on covariance matrix. The algorithm uses the covariance matrix to fuse multiple features of the target in the framework of particle filter, which improves the adaptability of the algorithm. By introducing the covariance integral graph, the dimension of particle computation is effectively reduced, which reduces the computational cost of the algorithm and improves the real-time performance. The processing efficiency of the algorithm is effectively improved through the mean value calculation in covariance to remove the noise. Simulation experiment results show that the proposed algorithm is robust to the target tracking under the condition of illumination change, environmental disturbance and scale change.

关键词： tracking algorithm particle filter multiple feature fusion covariance matrix

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The Mean Shift tracking algorithm With Adaptive Bandwidth Based on Affine Transformation 12

The Mean Shift Tracking Algorithm With Adaptive Bandwidth Ba...

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12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Lv, Lixia Yan, Chenghan North China Elect Power Univ Dept Automat Baoding Peoples R China

ISBN: (纸本)9781467376822

The kernel bandwidth of the traditional Mean Shift tracking algorithm cannot be changed in real time. It can't achieve accurate tracking when the target size is changing. This paper proposes an algorithm to automatically select the bandwidth of the kernel function, which can achieve accurate tracking when the size of the rigid target is changing. Firstly, it matches the target center of two consecutive frames by using the backward tracking. Then in order to effectively eliminate the false matching and ensure the accuracy of the regression, it extracts and disposes the feature points with regressive calculation on the base of matching. The results of tracking experiment show that the proposed algorithm can achieve accurate tracking in real time when the target size is changing.

关键词： kernel kernel bandwidth Mean Shift tracking algorithm backward tracking regressive calculation

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PASSIVE LOCATION AND tracking algorithm-BASED ON TOA AND AZIMUTH MEASUREMENTS FOR 3-D MOVING TARGETS

PASSIVE LOCATION AND TRACKING ALGORITHM-BASED ON TOA AND AZI...

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IEEE 1993 NATIONAL AEROSPACE AND ELECTRONICS CONF ( NAECON 1993 )

作者： CHEN, YG SUN, ZK Department of Electronic Engineering Institute of Changsha Technology Changsha Hunan China

ISBN: (纸本)0780312953

This paper presents an algorithm based on TOA (time of arrival) and azimuth measurements. The location principle and feasibility of the technique are analysed in detail. For some bistatic radar systems with receivers which locate and track 3-D moving targets by means of a passive method, it is sometimes difficult to measure the pitch angle of targets. The algorithm proposed is of great importance to the practicability of bistatic passive location and tracking systems. With the help of computer simulation, the performance of this algorithm is evaluated for typical target paths according to Monte Carlo methods.

关键词： tracking algorithm azimuth measurements passive location time of arrival location principle bistatic radar pitch angle bistatic passive location tracking systems computer simulation Monte Carlo methods ECM digital simulation electronic countermeasures filtering and prediction theory military systems Monte Carlo methods radar systems radar theory tracking

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tracking algorithm and Its Implementation of the Vehicle BSR Noise Location

Tracking Algorithm and Its Implementation of the Vehicle BSR...

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FISITA 2012 World Automotive Congress--Volume 13: Noise,Vibration and Harshness(NVH)

作者： Choi Sung Uk Kang Jun-Goo Lee Tae-Woong Mog Mu Gyun Hyundai-Motor.Seoul Korea SM Instruments.Seoul.Korea

It is hard to estimate the location ot BSR noise and quantify BSR noise due to three main reasons as the fallowings:ambiguity of representation of BSR noise,quantification of evaluation,and reproduction *** resolve these problems,companies depend on the experienced *** this chapter,we would like to propose a method for categorizing BSR and an algorithm for tracking BSR noise location and evaluating BSR noise.

关键词： BSR Vehicle Categorization Noise source tracking algorithm

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Infrared Moving Target tracking algorithm with Background Perception Capability

Infrared Moving Target Tracking Algorithm with Background Pe...

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4th IEEE International Conference on Information Science and Technology (ICIST)

作者： Liu Shijian Yang Long Wu Yingyue Chinese Acad Sci Inst Tech Phys Shanghai 200083 Peoples R China

ISBN: (纸本)9781479948086

Infrared moving target tracking algorithm in complex background prone target loss problems, proposed to add background perception module and target feature matching function in tracking algorithm, real-time analysis of the surroundings of the target. Strict constraints target infrared feature matching function when found that the background will be changed, if the target is interference, and outputs the target predicted position until the target flight out of the area. The improved algorithm is substantially independent of the target size, rotation change and improves the stability and reliability of the tracking algorithm. The experimental results show that the improved algorithm to overcome easily lost in the traditional algorithm to track the target and stable tracking in a complex background.

关键词： Background perception moving target tracking algorithm

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Bubbly Flow Experiment in Channel Using an Optical Probe and tracking algorithm

Bubbly Flow Experiment in Channel Using an Optical Probe and...

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作者： Khan, Abdul Texas A&M University

In this study, the phenomenon of two-phase flow was investigated in a square channel. The experiment was performed with stagnant liquid conditions. The gas and liquid dynamics of the bubbly flow were observed in two regions far from the inlet. Air was inserted through a porous media at three superficial gas velocities: 4.6 mm/s, 2.5 mm/s, and 1.4 mm/s. Two techniques were applied in the experiment to measure the bubbly flow: an optical probe and an in-house developed tracking algorithm. Measurements of the bubble interface velocity, void fraction, bubble frequency, time of flight, and Sauter mean diameter were obtained by using the optical probe. The duration of the probe measurements for all three flow rates and both regions lasted approximately 33 hours. The tracking algorithm was used to analyze the experimental data for two visual methods: shadowgraphy and Particle tracking Velocimetry (PTV). Shadowgraphy provided gas-phase measurements of the bubble centroid velocity and its fluctuations, void fraction, bubble size, and Reynolds stresses. Five data sets were acquired for each flow rate, resulting in a total of 327,540 shadowgraphy images. Liquid parameters such as the velocity, fluctuations in the velocity, and the Reynolds stresses were provided by PTV. Only one data set containing 10,918 images was obtained from liquid measurements for each flow rate. One data set was sufficient to provide reliable statistics since tracking two consecutive images lead to approximately 15,000 velocity vectors. The data obtained from this study was an effort to assist in the verification, validation, and improvement of two-phase flow simulations.

关键词： Optical Probe Shadowgraphy PTV tracking algorithm Bubbly Flow Two Phase Flow Thesis

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