Rope skipping counting method based on multi-target tracking

Abstract

The invention relates to a rope skipping counting method based on multi-target tracking, which belongs to the technical field of intelligent body-building. Including: 1) obtaining the original video data of the rope skipping action, and extracting the image data from the original video data; 2) performing single-frame processing on the image data to obtain a group of sequentially arranged single-frame images; 3) obtaining images of all face targets Initial position and size information; 4) track each face target in each frame image separately, and display the tracking results of all face targets on the same frame image at the same time; 5) judge and identify the rope skipper in a single frame image Non-jumping people; 6) Counting all rope skipping people in a single frame image; 7) Outputting and displaying the results. By identifying and tracking the change of the height position of the face to identify rope skippers and non-rope skippers, and to judge the number of skipping ropes of multiple rope skippers, it is not only accurate and does not require manual counting, but also the video can be molded back, which has high application value .

Description

technical field [0001] The invention relates to the technical field of intelligent fitness equipment, in particular to a method for counting skipping ropes based on multi-target tracking. Background technique [0002] Rope skipping has been used as an important sport for entertainment or competition on many occasions. At the same time, it is also a compulsory subject for the physical examination of elementary and middle school students. However, counting is required in the process of skipping rope. When there are many people, counting each person will greatly delay the precious time of the referee, and sometimes when the rope skipping speed is fast or the referee is inattentive, counting errors are prone to occur. Existing skipping ropes that can count automatically often adopt traditional methods such as machinery, and there are problems such as the ubiquity of counting not being accurate enough, or not being able to count backwards, or not being able to use for a long tim...

AI Technical Summary

Problems solved by technology

These methods all use intelligent methods based on vision and hearing to count rope skipping, but they are faced with the problem of how to identify the rope skipping, and can only count the rope skipping by a single person. There are also many problems in identifying the number of swings of the rope to count the number of rope skipping

It is difficult to recognize the sound of rope skipping when there are many people skipping rope at the same time through sound recognition

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