Fast movement and object detection in opencv

How can we detect fast movement and an object at the same time, let me give an example ... suppose that there is one football video match, and I want to determine the position of each player with maximum accuracy. I was thinking about human detection, but if we see a video with a match, then nothing happens with the detection of a person, because we can treat a person as objects Perhaps we can do this with blob detection, but there are a lot of problems with blob-like : -

1) I want to split each player. therefore, if players encounter, then blob detection will not help. therefore, there will be a problem of identifying the player separately 2) the second is the problem of lights in the stadium.

so is there any specific algorithm, method or library to do this ..? I saw some research article, but I’m not satisfied ... therefore, I propose everything related to it, like any article, algorithm, library, any method, any research article, etc., and please express your opinions in that.

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For the quick and reliable detection of people , the Dalal and Triggs Gradient Bar Graph is generally considered very good. Have you tried playing with this?

Since you mentioned fast movement changes, are you worried about fast camera movement or fast player / ball movement?

2D 3D ( Deshaker VirtualDub).

, blob . , . , .

, , OCRing ..

. , ? HOG. BLOB, ​​, .

, , . Denoising CCD, , - .

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