Embedded system based on abnormal behavior recognition

Abstract

The invention discloses an embedded system based on abnormal behavior recognition. The objective of the invention is to provide the embedded system based on abnormal behavior recognition, and the system comprises a monitoring camera, a behavior recognition main unit, a server (data center), and a comprehensive management platform. The system is characterized in that the monitoring camera is used for collecting onsite video data; the behavior recognition main unit is used for judging the posture of a person on site; the server (data center) is connected with the behavior recognition main unit,and carries out the comprehensive analysis according to the data transmitted by the behavior recognition main unit, and then obtains a final conclusion, and transmits the conclusion to the comprehensive management platform and authorized APP. Through the plug-and-play intelligent behavior recognition main unit and the front-end high-definition monitoring camera, the system can achieve the all-weather early warning of a suspected person and event in a key region, and achieves the early warning against the abnormal behaviors of the people and the weapons and dangerous knives held by the people in a controlled region.

Description

technical field [0001] The invention relates to a behavior recognition system, in particular to an embedded system based on abnormal behavior recognition. Background technique [0002] Most of the current industrial monitoring systems only detect or track moving objects in the scene, and there are relatively few further detection and analysis of abnormal events or abnormal behaviors in the scene. The existing anomaly detection methods based on the monitoring system mainly use the model-based method to monitor and judge. This method first needs to determine a certain criterion, and then extract the shape, movement and other information of the moving target from the image sequence. According to these obtained Feature information manually or using a semi-supervised method to define a model of normal behavior, usually using a graphical model to model the state represented by the sequence image features, those observations that do not match the normal behavior model are considere...

AI Technical Summary

Problems solved by technology

In many important public places, emergency treatment devices are installed. When a dangerous accident occurs, an emergency response will be carried out in a short time. However, the current intelligent monitoring system cannot prevent the accident before it occurs: such as terrorism Molecular attack, which can cause serious damage

Images