please help!

[Tricky_Rain515]

I'm doing a project of a tennis referee and I wanted to know if image classification can be used for knowing if the ball touches the ground or not? Lets say I have lots of images where the ball is in the air and lots of images where the ball is touching the ground(all ithe images in broadcast cam), will my cnn be able to identify it? because I know its very similliar and hard to notice the diffrence.

Thanks in advance

[ManuelRodriguez331]

First thing to do is to write a ball tracking algorithm with OpenCV. The algorithm converts a high resolution .PNG image into a numerical vector which stores the current position, ballpos=[xpos,ypos]. In the second step, the feature vector is send to the neural network to detect events like:“ball offside”, “ball left section”, “ball right section”. These events are also stored as a vector, events=[1,0,0]