US 12,685,899 B2 · Detecting a moving ball in images

Abstract

In a first step, a time series of images are resized to a smaller dimension, and the smaller images are fed into a first classifier that is trained to classify as a ball any objects in the smaller images that resemble a ball. In a second step, the smaller images are mapped back to the series of images, and regions in the series of images that contain the mapped ball are cropped from the series of images. The mapped ball is shifted based on a velocity of the mapped ball in the cropped regions, and the second classifier regresses center coordinates and a radius of the shifted ball, classifies whether the shifted ball is the ball based on a confidence score, and updates the shifted ball in the cropped regions based on the regressed center coordinates and radius.

Claims12

Dependent claims

A method comprising:

capturing a time series of images;
resizing the time series of images;
detecting a moving object in the resized time series of images;
mapping the moving object in the resized time series of images to the time series of images;
cropping regions in the time series of images that include the mapped moving object;
classifying, with a trained first neural network, the moving object as a ball based on the resized time series of images;
shifting the ball in the time series of images based on a velocity of the ball in the cropped regions:
regressing, with a trained second neural network, center coordinates and a radius of the shifted ball;
classifying, with the trained second neural network, whether the shifted ball is the ball, based on a confidence score;
and
updating the shifted ball in the cropped regions based on the regressed center coordinates, radius and confidence score.

8 more elements

Dependencies are inferred from the claim text.

Detecting a moving ball in images

Life of this patent

Detecting a moving ball in images

Life of this patent

Abstract

Claims12