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US 11,900,678 B2Granted
System for tracking, locating and calculating the position of an object in a game involving moving objects
OwnerPatricia Hall, Matthew Hall +2inventors
InventorsPatricia Hall, Matthew Hall, Jonathan Hall, Joseph Hall
Life of this patent
Estimating the term…
Abstract
A system for detecting, capturing, analyzing and displaying data for a game using a moving ball and players, whereby the system defines, stores and displays various characteristics of the ball in real time.
Claims20
A computerized system for automatic identification of various pitch-types of a ball itched by a pitcher in a game of baseball on a baseball field having a home plate, a pitcher's mound, a first base, a second base, and a third base, the system comprising:
- at least two cameras wherein a primary camera is positioned above and within view of the home plate, and a side camera is positioned to the left or right of the home plate, wherein each camera captures a continuous video image;
- wherein the field of view of the primary camera is at least 120° and includes the positions of a batter (while on the home plate) and a catcher and a pitcher, and wherein the field of view of the side camera is at least 120° , and also includes the batter (while on the home plate) and the catcher and the pitcher;
- wherein both cameras are in functional communication with, and transmit video data to a computer programmed with one of more backbone programs and an AI algorithm, receiving data from the backbone program, which is trained to classify a ball into various pitch types using the data provided by the one or more backbone programs,
- wherein said one or more backbone programs defines and maps the 3-dimensional home plate space in real-time, wherein the home plate space is a 3-dimensional shape extrapolated from an N×N 2-dimensional grid centered on the home plate, and performs object detection, monitors and analyses the video images, and post-processes the video data from the cameras, and feeds it into the AI algorithm, and
- wherein the one or more backbone programs detects and maps the ball in real-time, and calculates the speed of the ball and calculates and/or predicts the path of travel of the ball relative to the home plate space and predicting the entry and exit points of the ball relative to the home plate space, and produces data containing such information, and feeds said data to the AI algorithm which is trained to classify a ball into various pitch types using the data provided by the one or more backbone programs, and
- wherein the pitch type data is transmitted from the computer to a screen viewable by a viewer.
3 more elements
A computerized system for automatic identification of various pitch-types pitched by a pitcher and/or classification of a ‘strike’ or a ‘ball’ or a ‘hit’ in a game of baseball on a baseball field having a home plate, a pitcher's mound, a first base, a second base, and a third base, the system comprising:
- at least two cameras wherein a primary camera is positioned above and within view of the home plate, and a side camera is positioned to the left or right of the home plate, wherein each camera captures a continuous video image:
- and wherein the field of view of the primary camera is at least 120° and includes the positions of a batter (while on the home plate) and a catcher and a pitcher, and wherein the field of view of the side camera is at least 120° , and also includes the batter (while on the home plate) and the catcher and the pitcher;
- wherein both cameras are in functional communication with and transmit video images to a computer programmed with software running an AI-based object detection algorithm that monitors and analyses the video images comprising at least a Human Pose Estimation engine and a Strike Prediction Engine running a trained AI system, wherein the computer (i) uses Human Pose Estimation to ascribe facial and skeletal coordinates to the batter, (ii) ascribes coordinates to a home plate, a baseball mitt, and a baseball bat, if present in the frame, and (iii) integrates information about the coordinates of the batter and the coordinates of the home plate to define a real-time virtual three-dimensional volume (the strike zone), and further
- (iv) identifies the ball in motion, continuously collects data about the location and speed of the ball, and provides this data to the Strike Prediction Engine,
- wherein the data is transformed and analyzed to produce an output defining the pitch as a strike, a ball or a hit;
- and further,
- wherein the AI system detects and maps the ball in real-time, and calculates the speed of the ball and calculates and/or predicts the path of travel of the ball relative to the home plate space and predicting the entry and exit points of the ball relative to the home plate space, and analyses the data so-produced by the AI-system to classify the pitch-type into at least a fast-ball, a slow-ball and a curve-ball.
4 more elements
Dependencies are inferred from the claim text.