Abnormal behavior identification method, target abnormality identification method, equipment and medium

Abstract

The invention discloses an abnormal behavior recognition method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a current frame image, employing a human body key point detection model to detect the current frame image, and obtaining the human body feature information of a monitoring target, wherein the current frame image is an image which is obtained from a monitoring video and contains a monitoring target; matching the human body feature information with preset reference abnormal information to obtain matching information, the matching information indicating a matching result of the human body feature information and the preset reference abnormal information; if the matching information is first type information, acquiring a corresponding related frame image set from the monitoring video, wherein the first type information indicates that the monitoring target is abnormal; and performing behavior recognition on the related frame imageset by adopting a preset behavior recognition model, and determining the behavior information of the monitoring target in the related frame image set, thereby ensuring the accuracy of abnormal behavior recognition of the monitoring target.

Description

technical field [0001] The invention relates to the field of intelligent identification, in particular to an abnormal behavior identification method, an abnormal target identification method, equipment and media. Background technique [0002] With the continuous development of computer technology, especially artificial intelligence technology, more and more related intelligent monitoring and early warning technologies are applied to daily life. According to statistics, it is estimated that by 2020, the population of the elderly over 60 years old will increase to about 255 million, accounting for 17.8% of the total population. The elderly are prone to sudden accidental injuries due to declining physical functions, weakened mobility and resilience, and due to their own diseases or external influences. Among them, falls are the number one killer of accidental injury deaths in the elderly. Therefore, in homes, nursing homes and other places, it is necessary to intelligently mon...

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a method, device, computer equipment, and storage medium for identifying abnormal behaviors, so as to solve the problem of low accuracy in identifying abnormal behaviors

[0005] Embodiments of the present invention provide a target abnormality recognition method, device, computer equipment, and storage medium to solve the problem of low accuracy in abnormal behavior recognition

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