blocks|key|3590694|text|有两种类型的光流。密集和稀疏。Dense为所有像素查找流，而sparse为选定点查找流。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3590695|所选点可以是用户指定的，也可以使用任何feature+detectors+available+in+OpenCV自动计算。最常见的要素检测器包括使用cornerHarris或cornerMinEigenVal查找拐角的GoodFeaturesToTrack|offset|length|3590696|然后将功能列表传递给KLT跟踪器calcOpticalFlowPyrLK。|3590697|Feature可以是图像中的任何点。最常见的特征是角和边。|3590698|entityMap|0|LINK|mutability|MUTABLE|url|http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html|1|http://docs.opencv.org/modules/imgproc/doc/feature_detection.html?highlight=cornerharris#cornerharris|2|http://docs.opencv.org/modules/imgproc/doc/feature_detection.html?highlight=cornerharris#cornermineigenval|3|http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html#fastfeaturedetector|4|http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html?highlight=opticalflow#calcopticalflowpyrlk|5|http://en.wikipedia.org/wiki/Feature_%2528computer_vision%2529^0|0|J|11|0|22|C|1|2F|H|2|31|J|3|0|G|K|4|0|0|7|5|0^^$0|@$1|2|3|4|5|6|7|11|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|12|8|@]|9|@$D|13|E|14|1|15]|$D|16|E|17|1|18]|$D|19|E|1A|1|1B]|$D|1C|E|1D|1|1E]]|A|$]]|$1|F|3|G|5|6|7|1F|8|@]|9|@$D|1G|E|1H|1|1I]]|A|$]]|$1|H|3|I|5|6|7|1J|8|@]|9|@$D|1K|E|1L|1|1M]]|A|$]]|$1|J|3|-4|5|6|7|1N|8|@]|9|@]|A|$]]]|K|$L|$5|M|N|O|A|$P|Q]]|R|$5|M|N|O|A|$P|S]]|T|$5|M|N|O|A|$P|U]]|V|$5|M|N|O|A|$P|W]]|X|$5|M|N|O|A|$P|Y]]|Z|$5|M|N|O|A|$P|10]]]]

There are 2 types of optical flow. Dense and sparse.
Dense finds flow for all the pixels while sparse finds flow for the selected points.

The selected points may be user specified, or calculated automatically using any of the <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html">feature detectors available in OpenCV</a>. Most common feature detectors include <a href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html#fastfeaturedetector">GoodFeaturesToTrack</a> which finds corners using <a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html?highlight=cornerharris#cornerharris">cornerHarris</a> or <a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html?highlight=cornerharris#cornermineigenval">cornerMinEigenVal</a>

The feature list is then passed to the KLT Tracker <a href="http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html?highlight=opticalflow#calcopticalflowpyrlk">calcOpticalFlowPyrLK</a>.

<a href="http://en.wikipedia.org/wiki/Feature_%28computer_vision%29">Feature</a> can be any point in the image. Most common features are corners and edges.

blocks|key|3590713|text|在KLT上有一段精彩的this视频。你一定要看看这个|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|3590714|entityMap|0|LINK|mutability|MUTABLE|url|https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=6&cad=rja&uact=8&ved=0ahUKEwj79JuPzIzcAhVLqI8KHRHKB_sQwqsBCHcwBQ&url=https%253A%252F%252Fwww.youtube.com%252Fwatch%253Fv%253DtzO245uWQxA&usg=AOvVaw0DaMXtk7H9dfdTO3zNs2o^0|B|4|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

There is a brilliant video on KLT here in <a href="https://www.google.com/url?sa=t&amp;rct=j&amp;q=&amp;esrc=s&amp;source=web&amp;cd=6&amp;cad=rja&amp;uact=8&amp;ved=0ahUKEwj79JuPzIzcAhVLqI8KHRHKB_sQwqsBCHcwBQ&amp;url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DtzO245uWQxA&amp;usg=AOvVaw0DaMXtk7H9dfdTO3zNs2o" rel="nofollow noreferrer">this</a> video. You must check this out

I am curious about the logic behind KLT in openCV.

From what I have known so far, the images sent to find optical flow in OpenCV is firstly converted to grayscale.

What I am curious is that, when running the algorithm, we need set of features for computation. What are the features used in finding optical flow method in openCV?

Thank you :)

How does KLT work in OpenCV?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我对openCV中KLT背后的逻辑很好奇。据我所知，在OpenCV中用来寻找光流的图像首先会转换成灰度。我好奇的是，当运行算法时，我们需要一组用于计算的特征。在openCV中查找光流法有哪些功能？谢谢您:)

问KLT在OpenCV中是如何工作的？
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问KLT在OpenCV中是如何工作的？EN