Description: 基于opencv的LK光流场法实现的航拍点跟踪，效果非常好。在vs2005下编译通过。包括详尽的源代码及注释。-The LK-based opencv optical flow method to achieve aerial point tracking, the effect was very good. In vs2005 compiled through. Including detailed source code and comments. Platform: |
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Author:赵峰 |
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Description: LK稀疏光流Demo 可以在场景中自动找出关键点并自动跟踪，也可以使用鼠标在指定位置添加关键点，此程序是很好的学习光流的示例。本程序基于OpenCV。-LK Sparse Optical Flow Demo automatically in the scene to identify the key points and automatic tracking, you can also use the mouse to add the key points in the specified location, this program is a good example of the optical flow of learning. The program is based on OpenCV. Platform: |
Size: 2111488 |
Author:huangjian |
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Description: LK光流算法，包括opencv中LK稀疏跟踪的原理，主要是几篇英文文献，另外还有LK的matlab代码-LK optical flow algorithms, including LK sparse tracking opencv in principle, mainly a few in English literature, in addition to LK matlab code Platform: |
Size: 2142208 |
Author:lin65505578 |
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Description: opencv中光流实现运动物体等跟踪，本程序用vs2010编写，LK算法-optical flow in opencv to achieve the tracking of moving objects, etc., the procedures used vs2010 to write, LK algorithm Platform: |
Size: 8115200 |
Author:bbmmgg |
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Description: 强大的opencv提供了可直接调用的LK金字塔光流算法，可用于跟踪检测-Provides a powerful opencv optical flow algorithm LK pyramid can be directly invoked, can be used for tracking and detection Platform: |
Size: 1024 |
Author: |
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Description: 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 the feature point tracking, next to call calcOpticalFlowPyrLK function, input two consecutive images, and select a set of feature points in the first image, the output for this set of points in the next image position. Then filter the resulting trace to get rid of the bad feature points. Then mark the tracking path of the feature points.) Platform: |
Size: 2072576 |
Author:赵嘉慧
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Description: 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 calcOpticalFlowPyrLK function, input two consecutive images, and select a set of feature points in the first image, the output for this set of points in the next image position. Then filter the resulting trace to get rid of the bad feature points. Then mark the tracking path of the feature points.) Platform: |
Size: 2038784 |
Author:赵嘉慧 |
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