Description: 复杂场景下运动目标的实时跟踪，在完成对目标模式匹配，目标运动估计和石台控制处理的基础上，对三个模块力加以综合，实现对运动目标的实时跟踪。-sports complex scene and real-time tracking of the target, the completion of the target pattern matching, Target Motion estimation and control of Shitai, on the basis of three integrated modules. Campaign to achieve real-time tracking of the target. Platform: |
Size: 5740544 |
Author:丁德锋 |
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Description: Knowledge of the process noise covariance matrix
is essential for the application of Kalman filtering. However,
it is usually a difficult task to obtain an explicit expression of
for large time varying systems. This paper looks at an adaptive
Kalman filter method for dynamic harmonic state estimation and
harmonic injection tracking.-Knowledge of the process noise covariance matrix is essential for the application of Kalm an filtering. However, it is usually a difficult task to obtain an expli cit for large expression of time varying system s. This paper looks at an adaptive Kalman filter method for dynamic estimation a harmonic state nd harmonic injection tracking. Platform: |
Size: 419840 |
Author:rifer |
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Description: 针对双基阵提供的有偏方位角量测信息,对双基阵纯方位目标可观测性的必要条件及其Cramer-Rao下限
进行了理论推导.在此基础上,采用一种新的辅助变量方法对双基阵纯方位跟踪性能进行改进,并在可观测条件下对
目标进行了蒙特卡洛仿真实验.实验结果表明,新的辅助变量方法可以使参数估计精度大大提高,并且上述理论对制
定实际的跟踪策略或算法具有一定的参考价值
-For double-base matrix provided biased information azimuth measurement of double-base bearings-only target array may be a necessary condition for observability and Cramer-Rao lower limit of the theoretical derivation. On this basis, a new auxiliary variable method of double-base bearings-only tracking array to improve performance and can be observed under the condition of targets Monte Carlo simulation. The experimental results show that the new auxiliary variable method can greatly improve the accuracy of parameter estimation and the formulation of the above-mentioned theory tracking the actual strategy or algorithm has certain reference value Platform: |
Size: 54272 |
Author:顾东 |
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Description: GSM TCH/FS 信道编码仿真
仿真通信系统包括内外编码器、交织重排器、加性/突发或混合干扰信道、去交织反重排器、内外译码器，模拟了信息从信源到信宿的全过程；
在高斯噪声、突发干扰或混合信道下测试每个步骤对误码率和系统性能的影响，通过数字及图形的比较，得出通信系统中各个模块的作用。-GSM TCH/FS channel coding simulation Simulation of communication systems, including internal and external encoder, interleaving rearrangement, and additive/sudden or mixed channel interference, de-interlacing anti-rearrangement, and internal and external decoder, analog information from the source to the letter places the entire process in Gaussian noise, sudden disruption or mixed channel to test each step of the bit error rate and system performance, through the figures and graphics comparison, the communication system in the role of each module. Platform: |
Size: 45056 |
Author:123456 |
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Description: 跟踪相关论文，《基于彩色图像的机器人视觉跟踪》《基于扩展卡尔曼滤波的主动视觉跟踪技术》《基于视觉和扩展卡尔曼滤波的位姿和运动估计新方法》《一种运动目标检测与跟踪快速算法的研究》-Tracking the relevant papers, based on the color image of the robot visual tracking , Extended Kalman Filter based on active vision tracking technology, Based on the visual and extended Kalman filter and the position and orientation of new motion estimation method , a moving target detection and fast algorithm for tracking of Study Platform: |
Size: 1433600 |
Author:王云 |
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Description: This volume, in the ITECH Vision Systems series of books, reports recent advances in the
use of pattern recognition techniques for computer and robot vision. The sciences of pattern
recognition and computational vision have been inextricably intertwined since their early
days, some four decades ago with the emergence of fast digital computing. All computer vision
techniques could be regarded as a form of pattern recognition, in the broadest sense of
the term. Platform: |
Size: 12429312 |
Author:Vitali |
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Description: 在机动目标跟踪中，机动目标模型是机动目标跟踪的基本要素之一，一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型（Singer）和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中，通常采用固定的机动频率，这就表示机动目标的机动时间是一定的，而实际上机动目标的机动时间是不断变化的，也就是说机动频率是不断变化的，采用固定机动频率必然会带来误差。采样周期在0.5—2S时，机动频率越小跟踪精度越高[1]，但机动频率仍然是固定值。本文提出的基于神经网络的机动频率自适应调整方法可以使机动频率随机动而变化，从而提高状态估计的准确性，提高跟踪精度。本文将小波神经网络用于机动目标跟踪中机动频率的自适应调整，该算法对机动目标“当前”统计模型中的机动频率进行实时修改, 从而自适应的改变机动频率,使跟踪算法与目标的真实状态更接近。该算法采用小波神经网络的离线训练，实时性好。-The maneuver of the maneuvering target is uncertain. The maneuvering frequency is constantly changeable, but traditionally it is beforehand determined as a constant based on the target state estimation in the state model of the maneuvering target. The maneuver of the maneuvering target makes the kinematics equation of the target model mismatch with the practical motion model and the tracking error will be increased. Based on the advantages of the self-learning, the rapid convergence rate and the nonlinear approximation ability of the wavelet neural network, it was put forward to be used in the field of target tracking in the paper. The new residual is used as the input of the wavelet neural network, the output of the network is used to adjust adaptively the maneuvering frequency of the CS model. The algorithm is more close to the real state of the target. The simulation results showed that tracking error can be reduced and the tracking accuracy can be improved. Platform: |
Size: 4096 |
Author:李隆基 |
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Description: This method is used for tracking wavelet/optical flow-based
detection for automatic target recognition in the following paper:
Dessauer, M. and Dua S. “Wavelet-based optical flow object detection, motion estimation, and tracking on moving vehicles” Platform: |
Size: 1355776 |
Author:MemoSergey |
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Description: adaptive beamformer using an FFT filter bank with/without DOA estimation and tracking
(frequency domain version of Frost beamformer) Platform: |
Size: 4096 |
Author:terryshi |
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Description: 一篇引用率非常高的英文文献，基于快速高斯的KDE目标跟踪-Efficient kernel density estimation using the fast gauss transform with applications to color modeling and tracking Platform: |
Size: 100352 |
Author:元十三限 |
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Description: 多无人机（Unmanned Aerial Vehicle，UAV）协同目标跟踪在军/民用方面有
着广泛而又迫切的应用需求和重要的理论研究价值，是目前多 UAV 系统自主控制
领域的一个重要研究方向。本文以 UAV 执行对地侦察打击任务为应用背景，针对
复杂环境中多 UAV 协作式跟踪地面移动目标问题，重点围绕目标状态融合估计和
观测航迹优化两项关键内容展开研究-Multi-UAV (Unmanned Aerial Vehicle, UAV) has a broad and collaborative target tracking application needs urgent and important theoretical research value in the military/civilian, is the multi-UAV system with independent control area is an important research direction. In this paper, ground reconnaissance UAV to perform combat tasks as application background, moving target problem for the complex multi-UAV collaborative environment to track the ground, the focus on integration of the target state estimation and optimization of the two key elements of the observed track a study Platform: |
Size: 1948672 |
Author:俞吉 |
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Description: This thesis proposes a novel algorithm for integrated face detection and face tracking
based on the synthesis of an adaptive particle filtering algorithm and an AdaBoost face detection
algorithm. A novel Adaptive Particle Filter (APF), based on a new sampling technique, is
proposed to obtain accurate estimation of the proposal distribution and the posterior distribution
for accurate tracking in video sequences. The proposed scheme, termed a Boosted Adaptive
Particle Filter (BAPF), combines the APF with the AdaBoost algorithm. The AdaBoost
algorithm is used to detect faces in input image frames, while the APF algorithm is designed to
track faces in video sequences. The proposed BAPF algorithm is employed for face detection,
face verification, and face tracking in video sequences. Experimental results confirm that the
proposed BAPF algorithm provides a means for robust face detection and accurate face tracking
under various tracking scenarios. Platform: |
Size: 1057792 |
Author:Trabelsi |
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Description: The goal of the HumanEva dataset is to develop new techniques, technology, and
algorithms for the automatic articulated pose estimation and tracking of humans. Brown University
is involved in an ongoing effort to develop this dataset of synchronized video and motion capture
data. Platform: |
Size: 31744 |
Author:kaw |
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Description: Introduction: The goal of the HumanEva dataset is to develop new techniques, technology, and
algorithms for the automatic articulated pose estimation and tracking of humans. Brown University
is involved in an ongoing effort to develop this dataset of synchronized video and motion capture
data. The dataset is meant to aid research efforts in the general area of developing, testing and
uating algorithms for human motion estimation. Brown University has Platform: |
Size: 31744 |
Author:kaw |
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Description: 采用卡尔曼滤波完成对于目标状态的融合估计和跟踪，实现多传感器对移动目标的持续有效跟踪。(Calman filter is used to complete the fusion estimation and tracking of the target state, and the multi sensor continuous and effective tracking of moving target is realized.) Platform: |
Size: 629760 |
Author:smile2816
|
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