搜索资源列表
track
- 这是跟踪物体的程序，c语言编写的主体框架。仅供参考。-This is tracking the object program, the main body of the framework written in c language. Only for reference.
demo_mtbot
- MCMC多目标仅角跟踪程序，可以在杂波环境下工作-MCMC only multi-target angle tracking program, you can work in cluttered environment
position
- 基于单目手眼相机和激光测距仪，提出了一种尺寸未知的空间矩形平面的位姿测量算法。该算法不需要知道矩形平面 的G 个顶点的物体坐标，只需要知道它们的图像坐标、激光点的图像坐标和激光测距结果，就能够计算出尺寸未知空间矩形平 面在相机坐标系下的位姿，并且计算出矩形平面的尺寸。通过建立单目手眼相机和激光测距仪的数学模型，对该算法进行了验 证。实验结果表明，该算法是有效的，可以应用于机器人对空间物体的跟踪、定位以及抓取。-Monocular-based hand-eye cameras and
Exercise-6
- SSD7 exercise 6. Provide your solution to the following in a file named normalization.txt. Note: The discussion in this exercise is independent of (i.e., completed unrelated to) the E-Commerce project described in the Appendix. The following tab
matlabparticle
- 基于粒子滤波实现的纯方位目标跟踪，最后证明该算法收敛-Particle filter based on the realization of the bearings-only target tracking, the final proof of the convergence of the algorithm
03_02_EKF_UKF_Bearing_Only_Tracking
- EKF UKF Bearing Only Tracking
matlab_v
- Motion Tracking === === === This tarball contains all code required to run the tracking algorithm on a sequence of images. Run the file run_tracker.m in Matlab and follow the instructions. You will need to have a directory of sequentiall
ukf
- EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精
Bearings-Only-Tracking
- BOT模型的一种跟踪方法，使用粒子滤波实现-BOT model of a tracking method, using the particle filter implementation
dhjdifjj
- UKF算法及其在纯方位目标跟踪中的应用，改进 无迹卡尔曼滤波-UKF algorithm and its only target tracking application, unscented Kalman filter to improve
Multi_tracking_matlab(3D)
- Mtalab 下多目标跟踪算法程序，内有文档，尚不完全。仅供参考-Mtalab under the multi-target tracking algorithm, there are documents, not fully. For reference only. . .
bear-only-tracking
- 基于粒子滤波的纯角度跟踪算法，上附卡尔曼滤波，扩展卡尔曼滤波对比图-Pure point particle filter based tracking algorithm, the Kalman filter with extended Kalman filter comparison chart
normalization
- SSD7. Provide your solution to the following in a file named normalization.txt. Note: The discussion in this exercise is independent of (i.e., completed unrelated to) the E-Commerce project described in the Appendix. The following table captures
BOT_for_paper
- 扩展卡尔曼与质点滤波在纯方位跟踪应用,扩展卡尔曼与质点滤波在纯方位跟踪应用-Bearing only tracking
39062
- 用于纯方位角跟踪的很有用的MATLAB源程序-for bearing only tracking
Two-variables-Kalman-tracking-state
- 两变量卡尔曼跟踪状态 只有一个观测结果，可同时获得多个状态变量 噪音可以是时变的，同时改变R Q看结果的不同-Two variables Kalman tracking state is only one observation can also get more state variable noise can be time-varying, while changing the RQ to see the results of different
ghosts-distribution
- 在仅用距离-多普勒观测多目标-多传感器跟踪过程中会产生鬼影点，此程序用于画出鬼影点的分布图-Multitarget Multisensor tracking using only the range- Doppler measurements will generates ghost point, this program is used to draw distributed figure of the ghost point.
Tracking_Eyes
- this program is tracking eyes in the images as given in the sample images of eyes only.
tracking
- 摄像头目标追踪，示例仅用于红色目标的追踪-Camera target tracking, the sample only for the red target tracking
PVtest
- 光伏电池板仿真以及最大功率追踪，仅供原理参考，具体根据实际进行修改-Photovoltaic panels simulation and maximum power point tracking, only the principle of reference, according to the actual modification