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Kalman跟踪和粒子跟踪的实现与性能对比，使用opencv实现-Kalman tracking and particle tracking and performance comparison, the use of achieving OpenCV
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三层BP神经网络C语言代码,能实现自我学习，跟踪性能较好-BP neural network C language code, can achieve self-learning, better tracking performance
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采用matlab语言实现的三层BP神经网络算法，能够实现自我学习，跟踪性能较好-using Matlab language of the BP neural network algorithm, to achieve self-study, better tracking performance
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使用simulink对LMS算法进行多径仿真，在实验中验证LMS系统在多径环境下仍表现较好的收敛性和跟踪性能。-use Simulink LMS algorithm for multi-path simulation, In the experiment verified LMS system in the multi-path environment is still better performance convergence and tracking performance.
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：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多
特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究，
提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一
种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒
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多传感器多目标数据融合的ＩＭＭ＿ＭＳＰＤＡ关联算法，算法结果表明多模型算法用于跟踪机动目标的良好性能。-Multi-target multi-sensor data fusion IMM_MSPDA association algorithm, the algorithm results show that the multiple model algorithm for tracking maneuvering targets good performance.
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本开发板采用日本原装全新JRC G591模块，此模块基于JRC第九代方案，可支持多达210PRN通道，其中有66搜索通道和22同步跟踪通道，它支持l1波段信号集，如全球定位系统的C/A和SBAS（包括WAAS,EGNOS MSAS），具有较高灵敏性度以及跟踪性能。-The board uses the Japanese original new JRC G591 module, this module based on JRC ninth program, can support up to 2
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JPDA用来进行多目标跟踪的JPDA算法的MATLAB程序包. 跟踪效果还行-JPDA used for multi-target tracking JPDA algorithm MATLAB package tracking performance is also OK
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用java编写的算法交易软件。包括获取股票数据、分析、下单等全部功能。-AlgoTrader is an automated trading system (ATS) that can trade any type of security on any market available through InteractiveBrokers or FIX. All aspects of trading like getting market data, analyzing prices, taki
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This paper studies the problem of tracking a ballistic object in
the reentry phase by processing radar measurements. A suitable
(highly nonlinear) model of target motion is developed and the
theoretical Cramer—Rao lower bounds (CRLB) of estimat
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This paper studies the problem of tracking a ballistic object in
the reentry phase by processing radar measurements. A suitable
(highly nonlinear) model of target motion is developed and the
theoretical Cramer—Rao lower bounds (CRLB) of estimat
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This paper studies the problem of tracking a ballistic object in
the reentry phase by processing radar measurements. A suitable
(highly nonlinear) model of target motion is developed and the
theoretical Cramer—Rao lower bounds (CRLB) of estimat
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This application test the performance of various tracking algorithm. -This application test the performance of various tracking algorithm.
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3模型、2模型的交互多模型算法与普通卡尔曼滤波算法在跟踪机动目标的时候的性能比较-3 models, 2 models of interactive multi-model algorithm and the ordinary Kalman filter algorithm in maneuvering target tracking performance when compared
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基于统计决策规则提出自适应采样数粒子滤波算法, 在定义综合性能风险函数的基础, 推导出粒子数与滤波误差方差之间的关系式, 使得在跟踪过程中, 可以根据目标的机动情况在线调节粒子数, 以使跟踪性能
达到最优。在Matlab仿真平台下进行了闪烁噪声下的机动目标跟踪实验, 结果表明, 自适应采样数粒子滤波算法是一种有效的机动目标跟踪方法, 跟踪性能较基本粒子滤波算法提高了3.17倍。-Based on statistical decision rules of the number of adap
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运动目标跟踪和检测程序，已经调试完成可以放心使用，性能较好，适用范围广。-The movement target tracking and the examination procedure, good performance.
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本文分别就纯方位角跟踪中的机动目标跟踪、有信号传输时延时的跟踪及一类特定的多目标跟踪问题进行了较为系统和深入的研究。首先，针对非机动目标提出一种智能距离参数化无味滤波方法，与传统方法相比，改进了跟踪初始性能、滤波精度以及优化了系统资源。其次，针对机动目标纯方位角跟踪提出一种将交互多模型和核粒子滤波结合的方法，在维持跟踪精度的前提下，大幅减少了所需粒子数，改善了系统实时性。-This paper bearings-only tracking of maneuvering target tracki
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视频的运动目标跟踪，目标可自行框定选择。采用MeanShift、纹理特征及混合高斯模型等融合的方法。目标跟踪效果非常好，尤其运动速度较快情况，以及人物间遮挡情况。-Video moving target tracking, the goal of self-framed choice. Of MeanShift, texture feature and mixed Gaussian model fusion method. Target tracking performance is very
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详细介绍了自适应滤波器的跟踪性能及其实习过程。-Details of the tracking performance of the adaptive filter and its practical process.
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matlab实现联合视频信息和音频信息对目标进行跟踪(The problem of tracking multiple moving speakers in indoor environments has received much attention. Earlier techniques were based purely on a single modality, e.g., vision. Recently, the fusion of multi-modal information h
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