Intelligent monitoring system and intelligent monitoring method for extracting coordinates of human body joint

Abstract

The invention relates to an intelligent monitoring system for extracting coordinates of a human body joint. The intelligent monitoring system comprises three body sensors, a computer and an alarm apparatus, wherein output ends of the three body sensors are respectively connected with an input end of the computer; an output end of the computer is connected with an input end of the alarm apparatus. The intelligent monitoring method for extracting the coordinates of the human body joint disclosed by the invention establishes a two-dimensional hidden Markov model based on kernel component analysis, performs real-time monitoring on human body actions in a monitored area by using the three body sensors, performs dimension reduction process on action characteristic data of complete coordinates of the bone joint so as to obtain main components of the action characteristic data, performs action identification on the main components of the action characteristic data of the monitored human body action by using the established two-dimensional hidden Markov model, and alarms if the identified action is a set abnormal action. The intelligent monitoring system and the intelligent monitoring method for extracting the coordinates of the human body joint disclosed by the invention have the advantages of a high action identification accuracy, various types of action identifications, a high identification rate for abnormal behaviours, wide application and the like.

Description

technical field [0001] The invention belongs to the field of intelligent monitoring, and in particular relates to an intelligent monitoring system and method for extracting coordinates of joint points of a human body. Background technique [0002] Intelligent monitoring is the method of computer vision, without human intervention, through the automatic analysis of the image sequence captured by the camera, to realize the positioning, identification and tracking of the target in the dynamic scene, and on this basis to analyze and Judging the behavior of the target, so as to achieve both daily management and timely response when abnormal situations occur. [0003] Traditional intelligent video surveillance uses graphics and image processing technology to obtain the position of moving objects in the surveillance video and detect abnormal behaviors in the running sequence. Since the images in the video only have color and brightness information, the detection speed of moving obj...

AI Technical Summary

Problems solved by technology

However, when there is an occlusion relationship between people and a single somatosensory sensor cannot capture the three-dimensional coordinates of the skeleton of a complete human body, the correct recognition rate of the action is low.

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