Sports video action recognition method based on action hotspot map

Abstract

The invention discloses a sports video action recognition method based on an action hotspot map. The sports video action recognition method comprises the following steps: obtaining first five frames of images in each second through a Kinect technology; firstly obtaining a skeleton graph of each group of first frame images, then combining a plurality of subsequent frame images in one group to obtain an action hotspot graph of the group, calculating the motion distance of the action hotspot graph, comparing and analyzing the calculation result with a standard library, identifying whether the action of a section of video is standard or not; and marking and storing non-standard action. The sports video action recognition method has the real-time performance of video image processing, and alsohas good operability and an accurate analysis result.

Description

technical field

[0001] The present invention relates to a sports action recognition method, sometimes a real-time and accurate sports video action recognition method based on action heat maps. Background technique

[0002] With the continuous improvement of people's quality of life, people will follow various standard fitness videos to exercise. However, due to the lack of on-site guidance from professional coaches, the body is often injured due to non-standard movements, ranging from muscle strains to fractures. Therefore, it is necessary to identify whether the sports movements are standard, so as to find non-standard movements in time and correct them. The existing recognition methods are roughly divided into two types: one is for image recognition, which has the advantage of being accurate, but the disadvantage is that it cannot process a piece of video and has poor real-time performance; the other is for video recognition, but mostly for each frame Compared with the st...

Images