搜索资源列表
Kalman
- Kalman滤波处理运动小球圆心位置，实时测量小球的速度、加速度-Kalman filtering processing ball movement right position
kalman
- 用卡尔曼滤波方法跟踪运动物体，从而检测出运动物体目标-The first just does detection by background subtraction. This can be considered as the ground truth. The second feeds the detection output into a Kalman filter. The predicted position from the kalman filter (red) is comp
target-tracking-using-kalman
- 2D Target tracking using Kalman filter The first just does detection by background subtraction. This can be considered as the ground truth. The second feeds the detection output into a Kalman filter. The predicted position from the kalman filter
KalmanFilter
- 卡尔曼滤波的一个典型实例是从一组有限的，包含噪声的，对物体位置的观察序列（可能有偏差）预测出物体的位置的坐标及速度。在很多工程应用(如雷达、计算机视觉)中都可以找到它的身影。同时，卡尔曼滤波也是控制理论以及控制系统工程中的一个重要课题。-A typical example of the Kalman filter, from a limited set, containing the noise, the position of the object observed sequence (the
kalman1
- 基于OPENCV的卡尔曼滤波器跟踪程序，用圆圈标记实际位置、观测位置和预测位置。-Based the OPENCV Kalman filter tracking program, the actual position marked with circles, the observation position and predicted position.
s_GPS_INS_position_sp_demo
- 利用GPS提供的 位置和INS输出的位置作为观测量，并进行卡尔曼滤波，已经调试过，可以直接运行，值得下载-GPS provides the location and use of INS output position as observations and Kalman filtering, has been debugged, you can directly run, it is worth downloading! !
kalman
- 分为行人检测，特征提取，行人跟踪三步，其中最主要的代码也是这个代码的中心是行人跟踪这一部分，我采用的是kalman滤波器进行行人下一帧位置的预测，可以很好的提高行人跟踪的鲁棒性，跟踪结果比较准确。-Into pedestrian detection, feature extraction, pedestrian tracking steps, which is the center of the main code of the code is pedestrian tracking this
Kalman
- 在机器视觉中追踪时常会用到预测算法，kalman是你一定知道的。它可以用来预测各种状态，比如说位置，速度等。关于它的理论有很多很好的文献可以参考。opencv给出了kalman filter的一个实现，而且有范例，该应用是对二维坐标进行预测和平滑-In machine vision often used to track prediction algorithm, kalman is that you must know. It can be used to predict various st
target-tracking-using-kalman
- 使用kalman滤波对目标（乒乓球）的位置进行滤波，内含有60幅图像的数据集。Kalman每次迭代的输入是来自连通区域标记所确定的乒乓球位置。-target-tracking-using-kalman for ping-pang，including of 60 pictures.The input of every interate is the position determined by connected region label.