Point-of-interest-position-information-based human body motion identification method in video

Abstract

The invention discloses a point-of-interest-position-information-based human body motion identification method in a video. The method comprises: S1, for each video sequence in a video data set, a point of interest of a motion of a human body in the video sequence is extracted; S2, intelligent splitting is carried out on the video sequence by using the point of interest of the motion of the human body and thus the video data are split into a plurality of video segments; S3, for each video segment, point-of-interest position distribution Hop descriptor of the motion of the human body is calculated, wherein the Hop descriptor expresses the human body motion of the video; S4, human body motion training is carried out by using the Hop descriptor for representing each video segment; and S5, the human body motion with the highest occurrence frequency is used as the human body motion represented by the video data set. According to the method, the Hop descriptors are calculated by using the point-of-interest position information, so that differences among different motions can be kept effectively.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a human body action recognition method in a video based on position information of a point of interest. Background technique [0002] With the development of computer technology and multimedia technology, video has become the main carrier of information. In recent years, the increasing popularity of digital products and the rapid development of the Internet have made it easier to create and share videos. On the other hand, the popularity of video surveillance, the popularity of Microsoft Kinect motion-sensing game consoles, and the continuous development of human-computer interaction technology have also brought a variety of videos. Computer vision is playing an increasingly important role by combining video streams with computer processing, enabling computers to understand video information like humans. [0003] Human action recognition is an attractive and challengi...

AI Technical Summary

Problems solved by technology

This method effectively solves the problems of complex calculations and excessive memory requirements in current human action recognition methods, and can achieve high recognition accuracy at the same time.

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