搜索资源列表
opencvtracking
- 基于opencv的图像处理技术，对运动目标进行实时跟踪，算法为meansift算法，根据掩膜进行团块跟踪-Opencv image-processing technology based on real-time moving object tracking algorithm meansift algorithm, based on the mass trace mask
trace
- 使用opencv库实现对视频上移动物体的轨迹跟踪-Using the opencv library to achieve the video trajectory tracking of moving objects on
ShadowTrack
- opencv sourcecode for trace shadow
camshiftdemozhushi
- OpenCV 例子颜色跟踪 camshiftdemo注释-Note the color trace camshiftdemo OpenCV examples
trace
- 用opencv写的视频入侵检测。分通道HSV，固定背景下效果很好。-Written with opencv video intrusion detection. Sub-channel HSV, fixed background works well.
Target-trace
- 利用Opencv对运动目标（包括汽车，行人）的AVI视频进行检测并跟踪。效果十分显著。 - detect and tracking the moving targets (including cars, pedestrians) AVI video detection and tracking. Effect is very significant.
face-trace
- 利用C++,在VC6.0下利用OPenCV库函数进行人脸跟踪，运行结果良好，可直接使用。-Use C++, in VC6.0 OPenCV library functions use face tracking, good operating results can be used directly.
OPENCVNUM8
- 运用opencv实现图像各个通道的划分；实现点的跟踪，输出鼠标所示的地方的点坐标-Opencv achieved using a segmented image of each channel achieve point coordinates of the point where the trace output shown in the mouse
LK算法
- 利用openCV，首先利用goodFeaturesToTrack函数得到图像中的强边界作为跟踪的特征点，接下来要调用calcOpticalFlowPyrLK函数，输入两幅连续的图像，并在第一幅图像里选择一组特征点，输出为这组点在下一幅图像中的位置。再把得到的跟踪结果过滤一下，去掉不好的特征点。再把特征点的跟踪路径标示出来。(Using openCV, we use goodFeaturesToTrack function to get strong edges in the image as t
光流法运动估计OpticalFlow
- 利用openCV，首先得到图像中的强边界作为跟踪的特征点，调用函数，输入两幅连续的图像，并在第一幅图像里选择一组特征点，输出为这组点在下一幅图像中的位置。再把结果过滤，去掉不好的特征点。把特征点的跟踪路径标示出来。(Using openCV, we use goodFeaturesToTrack function to get strong edges in the image as the feature point tracking, next to call calcOpticalFlow
Opencv-trace-algorithm
- 利用OpenCV进行模板匹配，后面可拓展为利用opencv寻迹算法(Template matching using OpenCV, and later can be expanded to use opencv tracing algorithm)
2D-Trace-Transform-master
- Opencv based gesture recognition application source code CPP