搜索资源列表
icpr_2002
- Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
duo-te-zheng
- ：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
IMM
- 交互式多模型算法卡尔曼滤波仿真代码，程序中采用了两个模型-Interacting multiple model Kalman filter algorithm simulation code, the program uses two models
MHT
- 采用多假设检验法实现多目标跟踪，建立了多目标跟踪/视频监控平台，结合卡尔曼滤波预测目标轨迹。用户可以自己修改相关代码。-This code complete multiple object tracking/multiple target tracking/multi target tracking/multi object tracking using multiple hypothesis test/multi hypothesis test, builds up a visual surv
UKF-and-EKF-filter
- Matlab交互式多模型UKF和EKF滤波程序（附说明文档） -Matlab interacting multiple model UKF and EKF filtering procedures (with documentation)
IMM
- 用于机动目标跟踪的交互式多模型算法完整实现程序，无BUG-For maneuvering target tracking interactive multiple model algorithm for the full realization of program, no BUG
Multiple
- 多模型卡尔曼滤波演示程序，从网下载的，可直接运行！-Multiple model Kalman filtering
KALMANDOCUMENT
- ACOUSTIC NOISE REDUCTION USING A MULTIPLE-INPUT SINGLE-OUTPUT KALMAN FILTER
fgd
- 基于MATLAB的，交互式多模型算法卡尔曼滤波仿真代码-MATLAB-based, interactive multiple model algorithm for Kalman Filter Simulation Code
imm-kf
- Interactinf Multiple Model, Kalman Filter, Simulink
ekf_1_3_ukf_1_3
- 国外学者编写UKF、EKF、IMM的matlab源码和说明文档，注释清楚，条理性强。最新版本-The methods that are discussed in the current documentation are: Kalman filters and smoothers.Extended Kalman filters and smoothers Unscented Kalman filters and smoothers Interacting Multiple Model (IM
baseonDWTandKalmanfiltermulobjecttracking
- 基于DWT和Kalman滤波器的多目标跟踪算法的研究-a paper for a research.Multiple objects tracking based on DWT and kalman filter
tracking-algorithm
- 一份关于单个目标跟踪和多个目标跟踪的KALMAN滤波资料,详细的解释个多种算法-A report on the single target tracking and multiple target tracking KALMAN filtering information, a detailed explanation of a multiple target
codes
- KALMAN 滤波器 辅助 在线足球运动员跟踪 球赛是由模拟器生成的日志文档 此程序只实现如何利用kalman滤波器 对2维平面上的 运动物体进行跟踪 不涉及任何图像处理的东西-Kalman filter assisted on-line multiple objects tracking on simulated robot soccer match log file. The tracking system is working on preprocessed data, so no ima
Multiple-Pedestrian-Tracking-using-Colour-and-Mot
- This paper presents a method that combines colour and motion information to track pedestrians in video sequences captured by a fixed camera. Pedestrians are firstly detected using the human detector proposed by Dalal and Triggs which involves com
Multiple-Target-Tracking-Using-Kalman-Filter
- tracking multiple objects using kalman filter
IMM-Kalman-filter--simulation
- 结合雷达跟踪的空中目标的实际情况，针对目标运动模型中的线性运动和非线性运动，分别设计了两种模型，并用马尔科夫状态转移矩阵实现IMM算法。最后对交互多模型卡尔曼滤波算法进行了Matlab仿真及结果分析。-Combined with radar tracking air targets, for linear and non-linear movement of target motion model, two models were designed and used a Markov state
CS-Kalman
- 针对多音频信号进行压缩感知，采用卡尔曼滤波算法对其进行恢复-Compressed sensing for multiple audio signals, Kalman filter algorithm to recover
IMM_f
- 采用交互多模型算法（IMM）对机动目标进行跟踪的实现(Interactive multiple model algorithm (IMM) is applied to track maneuvering target.)
卡尔曼滤波原理及应用MATLAB仿真 pdf1
- 卡尔曼滤波原理及应用—MATLAB仿真主要介绍数字信号处理中的卡尔曼（Kalman）滤波算法及在相关领域应用。全书共7章。第1章为绪论。第2章介绍MATLAB算法仿真的编程基础。第3章介绍线性Kalman滤波。第4章讨论扩展Kalman滤波，并介绍其在目标跟踪和制导领域的应用和算法仿真。第5章介绍UKF滤波算法，同时也给出其应用领域内的算法仿真实例。第6章介绍了交互多模型Kalman滤波算法。第7章介绍Simulink环境下，如何通过模块库和S函数构建Kalman滤波器，并给出了系统是线性和非线