搜索资源列表
Interacting-Multiple-Model
- 提出了一种基于粒子滤波的交互式多模型多机动目标跟踪算法 -an inter act ing mult iple model tar get t racking algor ithm of mult iple maneuvering target s based o n part icle filter is pr opo sed
leidamubiaogenzong
- 雷达机动目标的跟踪程序,应用KALMAN滤波理论进行跟踪目标,关联以及融合-very good
a
- 针对多目标环境下(视频)特定机动目标跟踪与轨迹记录, 目标跟踪、轨迹记录、多目标环境、机动目标-For multi-target environment (video) specific for maneuvering target tracking and track record, target tracking, track record, multi-target environment, maneuvering target
PF2
- 基于序贯蒙特卡洛采样的粒子滤波程序,主要实现机动目标的跟踪,并给出噪声分析-target Tracking based on SMC PF
imm_matlab
- 机动目标跟踪,交互式多模型算法的代码,一个简单的例子-Maneuvering target tracking, interactive multiple model algorithm code, a simple example
matlab_gaosumubiao
- 高速机动目标检测跟踪的程序,好不容易写的,请珍惜-High-speed target detection
jd_ct
- 此程序为机动目标的转弯模型,对机动目标的跟踪效果比较好。-This procedure for maneuvering targets turn model for maneuvering target tracking results were better.
IMM_jidong
- 机动目标的交互多模型跟踪算法,对机动目标的跟踪效果很理想-Maneuvering targets interacting multiple model tracking algorithm for maneuvering target tracking results very satisfactory
IMM_CS-CA-MCT
- 此程序为机动目标的交互多模型跟踪算法,采用了CS/CA/MCT模型-This program interacting multiple model for maneuvering target tracking algorithm, using the CS/CA/MCT model
EKF_UKF
- 匀加速或机动轨迹下,距离和方位量测时,EKF和UKF的RMS目标跟踪性能比较-Constant acceleration or motor trajectory, distance and orientation measurements, the RMSof EKF and UKF target tracking performance comparison
435234paper
- 从边检测边跟踪的角度探讨了图象序列中机动目标的形心跟踪问题,深入分析了强高斯噪声背景下目标形心估计的统计性质及用于形心估计的图象预处理方法。-Explored from the perspective of the side edge-detection tracking the centroid tracking of maneuvering targets in the image sequence, in-depth analysis of the statistical properti
2
- 当前对机动目标跟踪的算法研究主要集中在交互式多模型((IMM)算法,它己被证明是目前混合系统估计算法中性价比最好的算法。-Maneuvering target tracking algorithm research focuses on the interacting multiple model ((IMM) algorithm, which has proved to be the best cost-effective algorithm in the current hybrid sy
4
- 基于光电观测信息的空中机动平台被动跟踪研究 -Passive follow-up study of air mobility platform based on optical observation information
5
- 水下目标被动跟踪及自适应导引律研究,主要解决水下目标的强机动目标跟踪问题 -Underwater passive target tracking and adaptive guidance law studies, mainly to solve the strong maneuvering target tracking problem of underwater target
Study-of-Target-Tracking
- 本文讨论了小波神经网络在机动多目标跟踪中的应用,多目标跟踪就是主体为了维持对多个目标(客体)当前状态的估计而对所接收的量测信息进行处理的过程。以非线性大规模并行分布式处理为特征的神经网络可以解决传统的目标跟踪方法的难以解决的计算量组合爆炸问题以及需要确定机动目标的数学模型的问题, 将小波分析原理与神经网络相融合,提出了基于小波神经网络的目标跟踪方法来提高系统的学习能力、表达能力以及机动多目标状态的估计精度。-This article discusses the application of wa
KKlamzipa
- 卡尔曼滤波器,基于卡尔曼滤波波器的机动目标跟踪可直接使用。 -Kalman filter, maneuvering target tracking filter based on the Kalman filter can be used directly.
ITDOOA_Smoothn
- 在TDOA定位系统中,运用平滑的的IMM算法对机动目标进行被动跟踪 -TDOA positioning system, the use of smooth IMM algorithm for passive tracking of maneuvering targets
Application-of-GPF-Algorithm
- 介绍了高斯粒子滤波器(GPF) 的基本思想和具体算法的实现步骤,并讨论了此算 法在机动目标转弯模型跟踪中的应用-The introduced Gaussian particle filter (GPF), the basic idea and specific implementation steps of the algorithm, and discuss the application of this algorithm in turn model maneuvering target
immtrace
- 基于imm算法的高速高机动目标跟踪,显示效果非常不错。而且易于移植。-IMM algorithm based on high speed and high maneuvering target tracking
EKF-PFfor-LOSand-NLOS
- 该算法能实现在LOS/NLOS环境下对机动目标的良好跟踪,并行使用KALMAN和PARTICLE滤波器-the proposed algorithm can achieve better performance for target tracjing