A method for automatic discrimination of basketball goal segment ab team based on deep learning object detection algorithm
A technology of object detection and deep learning, applied in computing, computer components, instruments, etc., can solve problems such as automatic distinction of difficult basketball goal segments
Active Publication Date: 2022-04-22
新华智云科技有限公司
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[0002] Usually in a basketball game, the two teams participating in the game attack the left half and the right half respectively in the first half of the game. When the second half of the game ends at the end of the intermission, the two teams switch places and attack the right half respectively. and left half, making it difficult for teams AB to automatically distinguish between basketball goal segments
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[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0030] see Figure 1-2 As shown, the present invention provides a kind of technical scheme:
[0031] The present invention provides a method for automatically distinguishing the basketball goal segment AB team based on the deep learning object detection algorithm, comprising the following steps:
[0032] Step 1: Train a detection algorithm for the base of a basketball stand, and use the output results of the detection algorithm to judge the left and right hal...
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The invention relates to the technical field of object detection, in particular to a method for automatically distinguishing the basketball goal segment AB team based on a deep learning object detection algorithm. It comprises the following steps: the first half is the default game start, and the team attacking the left half is Team A, and the team attacking the right half is Team B; training the detection algorithm of the basketball stand base, using the detection algorithm Judging the left and right halves of the segment by outputting results; judging the first and second halves by using the time interval between goals; judging the left and right halves by using the output results of the detection algorithm. In the method for automatically distinguishing the basketball goal segment AB team based on the deep learning object detection algorithm, the image detection algorithm based on deep learning is used to detect and obtain the position information of the basketball stand base in the basketball goal video clip, and judge the position of the basketball stand The information of the left and right halves is obtained, and the information of the AB team is obtained, and the information of the first and second halves is automatically judged by the goal time interval, and the automatic conversion of the attack information of the AB team is realized.
Description
technical field [0001] The invention relates to the technical field of object detection, in particular to a method for automatically distinguishing the basketball goal segment AB team based on a deep learning object detection algorithm. Background technique [0002] Usually in a basketball game, the two teams participating in the game attack the left half and the right half respectively in the first half of the game. When the second half of the game ends at the end of the intermission, the two teams switch places and attack the right half respectively. and left half, making it difficult for team AB to automatically distinguish between basketball goal segments. Contents of the invention [0003] The purpose of the present invention is to provide a method for automatically distinguishing the basketball goal segment AB team based on the deep learning object detection algorithm, so as to solve the problems raised in the above-mentioned background technology. [0004] In order...
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IPC IPC(8): G06V20/40G06V10/764G06K9/62
CPCG06V20/42G06F18/241
Inventor 陈雷雷李淼
Owner 新华智云科技有限公司