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作者： Puccio, Maximiliano Universita degli studi di Torino

学位级别：博士

In the ultra–relativistic lead–lead collisions at the CERN Large Hadron Collider (LHC), a state of matter called Quark Gluon Plasma (QGP) is created. A typical signature of a heavy ion collision (HIC) correlated to the production of the QGP is the large number of particles produced (d N ch /d η up to 2000 in Pb–Pb collisions at p s NN =5.02 TeV). This high multiplicity environment poses a tremendous experimental challenge on the experiments that have to cope with the high density of signals in their sensitive volume. A Large Ion Collider Experiment (ALICE) has been designed to deal with the harsh environment of a HIC and to study in details the characteristics of the QGP. Among the particles produced in a HIC, light nuclei and their anti–matter companions are of special interest since the production mechanism of such loosely bound states is not clear in high energy collisions. The production rate at the LHC for the lightest of these objects, the deuteron, is approximately one every ten Pb–Pb collisions with the highest charged particle density. Heavier nuclei, such as the 3 He, are even more rare. The first goal of this work is to search with the ALICE experiment the haystack of particles produced in Pb–Pb collisions at p s NN =2.76 TeV and p s NN =5.02 TeV to find (anti–)deuterons and (anti–) 3 He. It is possible to distinguish some of the leading features of the main models describing the (anti–)nuclei production, by studying the characteristics of their transverse momentum spectra, their evolution with the particle multiplicity and their relation to the measured yield of protons. It will be also evident that the detailed study of heavier nuclei is limited by the amount of data collected by the ALICE experiment. In its third run, starting in 2020, the LHC will deliver Pb–Pb collisions at the unprecedented interaction rate of 50 kHz. In order to fully profit from the high luminosity delivered by the LHC, the ALICE collaboration is now working on the upgrade of its

关键词： ALICE experiment ITS Upgrade tracking algorithms nuclei anti–nuclei statistical

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Spatial Correlation: An Interactive Display of Virtual Gesture Sculpture

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LEONARDO 2017年第1期50卷 94-95页

作者： Nam, Jung Keefe, Daniel F. Univ Minnesota Minneapolis MN 55455 USA

Spatial Correlation is an interactive digital artwork that provides a new window into the process of creating freeform handcrafted virtual sculptures while standing in an immersive Cave virtual reality (VR) environment. The piece originates in the lab, where the artist's full-body, dance-like sculpting process is recorded using a combination of spatial tracking devices and an array of nine synchronized video cameras. Later, in the gallery, these raw data are reinterpreted as part of an interactive visualization that relates the three spaces in which the sculpture exists: 1) the physical lab/studio space in which the sculpture was created, 2) the digital virtual space in which the sculpture is mathematically defined and stored, and 3) the physical gallery space in which viewers now interact with the sculpture.

关键词： VIRTUAL reality SMALL art works SYNCHRONIZATION SCULPTURE tracking algorithms VIDEO recordings PHYSICS laboratories ARTISTS' studios

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Parallel algorithm implementation for multi-object tracking and surveillance

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IET COMPUTER VISION 2016年第3期10卷 202-211页

作者： Elbahri, Mohamed Taleb, Nasreddine Kpalma, Kidiyo Ronsin, Joseph Univ Djillali Liabes Sidi Bel Abbes Dept Comp Sci Sidi Bel Abbes Algeria Univ Djillali Liabes Sidi Bel Abbes Dept Elect RCAM Lab Sidi Bel Abbes Algeria UEB INSA IETR Dept Image & Automat F-35708 Rennes France

A recently developed sparse representation algorithm, has been proved to be useful for multi-object tracking and this study is a proposal for developing its parallelisation. An online dictionary learning is used for object recognition. After detection, each moving object is represented by a descriptor containing its appearance features and its position feature. Any detected object is classified and indexed according to the sparse solution obtained by an orthogonal matching pursuit (OMP) algorithm. For a real-time tracking, the visual information needs to be processed very fast without reducing the results accuracy. However, both the large size of the descriptor and the growth of the dictionary after each detection, slow down the system process. In this work, a novel accelerating OMP algorithm implementation on a graphics processing unit is proposed. Experimental results demonstrate the efficiency of the parallel implementation of the used algorithm by significantly reducing the computation time.

关键词： Parallel algorithms tracking algorithms Orthogonal matching pursuit Feature extraction (Data processing) Computer software

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On the FPGA Implementation of tracking algorithms

On the FPGA Implementation of Tracking Algorithms

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Mediterranean Conference on Control & Automation

作者： A. Belaabed Ch. Benbouchama Department of Electronic Ecole Militaire Poly technique Bordj-EI-Bahri 16111 Alger Algeria

ISBN: (纸本)9781467325301

Ahstract-This paper presents the FPGA (Field Programmable Gate Array) implementation of tracking algorithms based on the estimation of a moving target status in space. Two Bayesian estimators, Kalman Filter (KF) and Extended Kalman Filter (EKF), are used to track the targets with several interacting models. Hardware architectures have been proposed for different cases. The targeted circuit was an XC2vlOOO FPGA embedded on the Celoxica RC200 board. A tool was designed with visual C++ to generate automatically FPGA configurations, through the use of Handel-C language. This work was completed with an experimental validation which consists in the real-time tracking of sinusoidal signal.

关键词： FPGA Implementation tracking algorithms tracking algorithms based

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Input tracking for a parabolic equation on an infinite time interval

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DIFFERENTIAL EQUATIONS 2016年第8期52卷 1043-1053页

作者： Blizorukova, M. S. Maksimov, V. I. Russian Acad Sci Inst Math & Mech Ural Branch Ekaterinburg Russia Ural Fed Univ Ekaterinburg Russia

We study the input tracking problem for a parabolic equation on an infinite time interval on the basis of the measurement of phase coordinates. We suggest an algorithm stable under information noises and roundoff erro... 详细信息

关键词： tracking algorithms DEGENERATE parabolic equations INFINITY (Mathematics) INFORMATION theory algorithms ERROR analysis (Mathematics)

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Analysis of Ship RCS Detected by Multifrequency HFGWR

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INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION 2017年第5-18期2017卷 4964267-4964267页

作者： Sun, Ke Wen, Biyang Wang, Ruokun Wuhan Univ Elect Informat Sch Radar & Signal Proc Lab Wuhan 430072 Peoples R China

One of the important applications of high frequency-ground wave radar (HFGWR) is to detect offshore ships. A proper method should be used to obtain the ship radar cross section (RCS), which is a key parameter of the ship. This paper proposes amethod based on an automatic information system (AIS). The relationship of the ship RCS versus bearing for different frequencies is analyzed by processing multifrequency HFGWR data. With this new method, bearing information is taken into consideration, which is not the case in traditional empirical formulas. The results provide prior knowledge for ship detection and tracking;therefore, the probability of detection is significantly improved.

关键词： Radar cross sections Information storage & retrieval systems tracking algorithms Probability theory Empirical research Parameter estimation

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Optimal Preview Control for a Class of Linear Continuous Stochastic Control Systems in the Infinite Horizon

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MATHEMATICAL PROBLEMS IN ENGINEERING 2016年第1期2016卷 1-9页

作者： Wu, Jiang Liao, Fucheng Deng, Jiamei Univ Sci & Technol Beijing Sch Math & Phys Beijing 100083 Peoples R China Leeds Beckett Univ Leeds Sustainabil Inst Leeds LS2 9EN W Yorkshire England

This paper discusses the optimal preview control problem for a class of linear continuous stochastic control systems in the infinite horizon, based on the augmented error system method. Firstly, an assistant system is designed and the state equation is translated to the assistant system. Then, an integrator is introduced to construct a stochastic augmented error system. As a result, the tracking problem is converted to a regulation problem. Secondly, the optimal regulator is solved based on dynamic programming principle for the stochastic system, and the optimal preview controller of the original system is obtained. Compared with the finite horizon, we simplify the performance index. We also study the stability of the stochastic augmented error system and design the observer for the original stochastic system. Finally, the simulation example shows the effectiveness of the conclusion in this paper.

关键词： STOCHASTIC control theory ERROR analysis (Mathematics) DYNAMIC programming SIMULATION methods & models tracking algorithms

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Detection and tracking of Road Barrier Based on Radar and Vision Sensor Fusion

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JOURNAL OF SENSORS 2016年第9-26期2016卷 1963450-1963450页

作者： Kim, Taeryun Song, Bongsob Ajou Univ Dept Mech Engn Suwon 16499 South Korea

The detection and tracking algorithms of road barrier including tunnel and guardrail are proposed to enhance performance and reliability for driver assistance systems. Although the road barrier is one of the key features to determine a safe drivable area, it may be recognized incorrectly due to performance degradation of commercial sensors such as radar and monocular camera. Two frequent cases among many challenging problems are considered with the commercial sensors. The first case is that few tracks of radar to road barrier are detected due to material type of road barrier. The second one is inaccuracy of relative lateral position by radar, thus resulting in large variance of distance between a vehicle and road barrier. To overcome the problems, the detection and estimation algorithms of tracks corresponding to road barrier are proposed. Then, the tracking algorithm based on a probabilistic data association filter (PDAF) is used to reduce variation of lateral distance between vehicle and road barrier. Finally, the proposed algorithms are validated via field test data and their performance is compared with that of road barrier measured by lidar.

关键词： Guardrails on roads Image sensors Driver assistance systems Reliability (Engineering) tracking algorithms

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NMCT: A Novel Monte Carlo-Based tracking Algorithm Using Potential Proximity Information

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INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 2016年第2期2016卷 7061486-7061486页

作者： Niu, Qiang Huan, Tian Chen, Pengpeng China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Peoples R China

Currently, many services benefit greatly from the availability of accurate tracking. tracking in wireless sensor networks remains a challenging issue. Most tracking methods often require a large number of anchors and do not take advantage of potential localization information, leading to poor accuracy. To solve this problem, this paper proposes a Novel Monte Carlo-based tracking (NMCT) algorithm with area-based and neighbor-based filtering, which fully extracts the proximity information embedded in the neighborhood sensing. We describe the entire system design in detail and conduct extensive simulations. The results show that the proposed algorithm outperforms the typical schemes under a wide range of conditions.

关键词： MONTE Carlo method tracking algorithms AUTOMATIC control WIRELESS sensor networks INFORMATION theory

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An Efficient Plot Fusion Method for High Resolution Radar Based on Contour tracking Algorithm

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INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION 2016年第6-16期2016卷 1-10页

作者： Yan, Bo. Xu, L. P. Zhao, Kun Yan, J. Z. H. Xidian Univ Sch Aerosp Sci & Technol 266 Xinglong Sect Xifeng Rd Xian 710126 Peoples R China

With the development of radar system, the problem of enormous raw data has drawn much attention. A plot fusion method based on contour tracking algorithm is proposed to detect extended targets in a radar image. Firstly, the characteristic of radar image in complex environment is revealed. Then, the steps of traditional method, region growing method, and the proposed method are introduced. Meanwhile, the algorithm of tracking the contour of an extended target is illustrated in detail. It is not necessary to scan all the plots in the image, because the size of target is considered in the proposed method. Therefore, the proposed method is much more efficient than several existing methods. Lastly, the performance of several methods is tested using the raw data of two scenarios in real world. The experiment results show that the proposed method is practical and most likely to satisfy the real-time requirement in various complex environment.

关键词： tracking algorithms Radar Target acquisition Real-time computing Image analysis

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