Patent Document ID: 20180172408
Application ID: 15890233
Patent Status: 0

Claim One:
1. A shooting game with a dynamic scoring system comprising: A) a target mounted in a support frame, B) a digital camera mounted on said support frame with a sensor resolution of at least 2 million pixels, C) wherein said digital camera is located above the target with a view of the target, D) wherein a distance of said digital camera to the target is not greater than the maximum of: a) the width of said target, or b) the height of said target, E) wherein a constant light illuminates the target, F) a sequential hole made in the target during the shooting game, G) wherein said digital camera captures video images of the sequential hole made in the target, H) wherein the video images incorporate said target and are displayed on at least one game display, I) wherein the video images are processed by image processing equipment to determine a location of a new hole in the target by comparing a current image to a prior image substantially one second earlier, wherein said current image is free of shot vibration, J) wherein said location of the new hole is recognized when at least 0.02% of pixels change from said current image to said prior image, K) correcting the location of the new hole for vertical and horizontal distortion, L) scoring the new hole in the target relative to scoring markings on the target, M) displaying a marker on the game display that identifies the most recent target hole location, N) updating the shooting game score, O) wherein the video images are processed by the image processing equipment to determine the location of the new hole in the target by the steps comprising: 1) converting the video images to grayscale images, 2) filtering the grayscale images by averaging the RGB values of sequential image pixels with immediately surrounding sequential image pixels, 3) comparing the filtered grayscale images to identify any image pixel change from a prior baseline image, 4) wherein said prior baseline image is substantially 1 second in the past, 5) examining a surrounding one square inch area of any changed pixel for other changed pixels and performing a changed pixel count in the one square inch area, 6) identifying the new hole when the number of changed pixel counts in the one square inch area exceeds a threshold value of 25%, and 7) identifying an averaged pixel location of the new hole based on an average changed pixel location in the one square inch area.