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
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
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.